Job Seeking: The Process and Experience of Looking for a Job

2020 ◽  
Vol 7 (1) ◽  
pp. 315-337 ◽  
Author(s):  
Connie R. Wanberg ◽  
Abdifatah A. Ali ◽  
Borbala Csillag
Keyword(s):  
Social Networking ◽  
Job Search ◽  
Job Quality ◽  
Future Research ◽  
Research Attention ◽  
Job Seeking ◽  
Employment Situation ◽  
Significant Research ◽  
Job Finding ◽  
Job Search Methods

This review distills available empirical research about the process and experience of looking for a job. Job search varies according to several dimensions, including intensity, content, and temporality/persistence. Our review examines how these dimensions relate to job search success, which involves job finding as well as job quality. Because social networking and interviewing behavior have attracted significant research attention, we describe findings with respect to these two job search methods in greater detail. We provide examples of the relevance of context to job search (i.e., the job seeker's geographical region, country, and culture; the economy; the job seeker's current or past employment situation; and employer behaviors and preferences) and review research on bias in the job search. Finally, we survey work on job search interventions and conclude with an overview of pressing job search issues in need of future research.

Online Word-of-Mouth Reviews

2014 ◽  
pp. 1689-1697
Author(s):  
Jing Huo ◽  
Qinglong Gou ◽  
Qi Dai ◽  
Zhimin Huang
Keyword(s):  
Word Of Mouth ◽  
Social Network Sites ◽  
Future Research ◽  
Purchase Decision ◽  
Research Directions ◽  
Research Attention ◽  
Online Word Of Mouth ◽  
Significant Research ◽  
Future Research Directions ◽  
Antecedents And Consequences

Online word-of-mouth (WOM) has received significant research attention as the Internet has rapidly developed. Owing to specific Internet platforms such as consumer reviews sites and social network sites, online WOM spreads much more quickly and widely than traditional WOM, and that phenomenon ultimately makes online WOM play a key role in a consumer's purchase decision. In this chapter we present an overview of previous research on online WOM to facilitate future research in this area. In this review, previous researches are divided into three streams, i.e., (1) the effectiveness of online WOM, (2) the valence of online WOM, and (3) the antecedents and consequences of online WOM. Also, two possible future research directions are suggested at the end the chapter.

Job Finding in Australia

1994 ◽  
Vol 3 (3) ◽  
pp. 51-54 ◽  
Author(s):  
James Athanasou
Keyword(s):  
Labour Market ◽  
Prior Knowledge ◽  
Job Search ◽  
Labour Force ◽  
Australian Bureau ◽  
Labour Force Survey ◽  
Job Seeking ◽  
Informal Labour ◽  
Australian Bureau Of Statistics ◽  
Job Finding

Although studies of the labour market have concentrated on employment and unemployment, there have been few Australian studies of job-search experiences. This report documents the methods used by people to obtain jobs in 1982, 1986 and 1990. It considers the proposition that informal job-seeking methods are more likely to lead to employment and that most jobs are obtained without prior knowledge of the vacancy. The data for this report were derived from the Australian Bureau of Statistics monthly labour force survey of households (published and unpublished data) in 1982, 1986 and 1990. Around 1.8 million individuals had started in a new job and at least 35 per cent of jobs resulted from approaches made without prior knowledge that the job was available. Friends and relatives accounted for some 17 per cent of placements and in 25 per cent of cases, the employer approached the job seeker, bringing the proportion of informal methods to at least 77 per cent. Results confirm the views of experienced career counsellors that there is a large and informal labour market.

Dangerous Liaisons?

2022 ◽  
pp. 878-897
Author(s):  
Edgar Ramírez-Solís ◽  
Verónica I. Baños-Monroy
Keyword(s):  
Family Firms ◽  
Ethical Issues ◽  
Ethical Dilemmas ◽  
New Ventures ◽  
Theoretical Work ◽  
Future Research ◽  
Research Attention ◽  
Significant Research ◽  
Moral Problems ◽  
Succession Process

Entrepreneurship is an essential engine for economic growth and innovation. During the last two decades, there has been a lot of academic interest in this kind of activity but only recently has research attention been devoted to the ethical problems encountered by entrepreneurs and intrapreneurs. In this chapter, the authors highlight the ethical issues inherent to family firms. Intrapreneurs in a family business face uniquely moral problems related to fundamental fairness, succession process, copyright and brand use, and other challenges. For example, younger generations in family firms face a tricky balancing act between their loyalty to their families and finding new ventures or spin-offs based on the current business. This theoretical work aims to present some contemporary research in entrepreneurial ethics, examines the kinds of ethical dilemmas entrepreneurs and intrapreneurs face, identifies significant research topics and methodological approaches, and discusses possible directions for future research.

Dangerous Liaisons?

2019 ◽  
pp. 263-282 ◽  
Author(s):  
Edgar Ramírez-Solís ◽  
Verónica I. Baños-Monroy
Keyword(s):  
Family Firms ◽  
Ethical Issues ◽  
Ethical Dilemmas ◽  
New Ventures ◽  
Theoretical Work ◽  
Future Research ◽  
Research Attention ◽  
Significant Research ◽  
Moral Problems ◽  
Succession Process

Entrepreneurship is an essential engine for economic growth and innovation. During the last two decades, there has been a lot of academic interest in this kind of activity but only recently has research attention been devoted to the ethical problems encountered by entrepreneurs and intrapreneurs. In this chapter, the authors highlight the ethical issues inherent to family firms. Intrapreneurs in a family business face uniquely moral problems related to fundamental fairness, succession process, copyright and brand use, and other challenges. For example, younger generations in family firms face a tricky balancing act between their loyalty to their families and finding new ventures or spin-offs based on the current business. This theoretical work aims to present some contemporary research in entrepreneurial ethics, examines the kinds of ethical dilemmas entrepreneurs and intrapreneurs face, identifies significant research topics and methodological approaches, and discusses possible directions for future research.

scholarly journals Physical layer security in light-fidelity systems

2020 ◽  
Vol 378 (2169) ◽  
pp. 20190193 ◽  
Author(s):  
Zhenyu Zhang ◽  
Anas Chaaban ◽  
Lutz Lampe
Keyword(s):  
Wireless Communication ◽  
Physical Layer Security ◽  
Communication Technologies ◽  
Physical Layer ◽  
Future Research ◽  
Research Attention ◽  
Rf Communication ◽  
Significant Research ◽  
Recent Developments ◽  
Future Research Directions

Light-fidelity (LiFi) is a light-based wireless communication technology which can complement radio-frequency (RF) communication technologies for indoor applications. Although LiFi signals are spatially more contained than RF signals, the broadcasting nature of LiFi also makes it susceptible to eavesdropping. Therefore, it is important to secure the transmitted data against potential eavesdroppers. In this paper, an overview of the recent developments pertaining to LiFi physical layer security (PLS) is provided, and the main differences between LiFi PLS and RF PLS are explained. LiFi achievable secrecy rates and upper bounds are then investigated under practical channel models and transmission schemes. Beamforming and jamming, which received significant research attention recently as a means to achieve PLS in LiFi, are also investigated under indoor illumination constraints. Finally, future research directions of interest in LiFi PLS are identified and discussed. This article is part of the theme issue ‘Optical wireless communication’.

scholarly journals Social exclusion increases the executive function of attention networks

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Huoyin Zhang ◽  
Shiyunmeng Zhang ◽  
Jiachen Lu ◽  
Yi Lei ◽  
Hong Li
Keyword(s):  
Social Exclusion ◽  
Executive Control ◽  
Brain Regions ◽  
Negative Influence ◽  
Future Research ◽  
Research Attention ◽  
Attention Network ◽  
Attention Networks ◽  
The Social ◽  
And Control

AbstractPrevious studies in humans have shown that brain regions activating social exclusion overlap with those related to attention. However, in the context of social exclusion, how does behavioral monitoring affect individual behavior? In this study, we used the Cyberball game to induce the social exclusion effect in a group of participants. To explore the influence of social exclusion on the attention network, we administered the Attention Network Test (ANT) and compared results for the three subsystems of the attention network (orienting, alerting, and executive control) between exclusion (N = 60) and inclusion (N = 60) groups. Compared with the inclusion group, the exclusion group showed shorter overall response time and better executive control performance, but no significant differences in orienting or alerting. The excluded individuals showed a stronger ability to detect and control conflicts. It appears that social exclusion does not always exert a negative influence on individuals. In future research, attention to network can be used as indicators of social exclusion. This may further reveal how social exclusion affects individuals' psychosomatic mechanisms.

scholarly journals A Survey on Deep Learning Based Methods and Datasets for Monocular 3D Object Detection

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 517
Author(s):  
Seong-heum Kim ◽  
Youngbae Hwang
Keyword(s):  
Deep Learning ◽  
Object Detection ◽  
Low Cost ◽  
Detection Methods ◽  
Future Research ◽  
3D Object ◽  
Practical Applications ◽  
Depth Sensors ◽  
Significant Research ◽  
3D Object Detection

Owing to recent advancements in deep learning methods and relevant databases, it is becoming increasingly easier to recognize 3D objects using only RGB images from single viewpoints. This study investigates the major breakthroughs and current progress in deep learning-based monocular 3D object detection. For relatively low-cost data acquisition systems without depth sensors or cameras at multiple viewpoints, we first consider existing databases with 2D RGB photos and their relevant attributes. Based on this simple sensor modality for practical applications, deep learning-based monocular 3D object detection methods that overcome significant research challenges are categorized and summarized. We present the key concepts and detailed descriptions of representative single-stage and multiple-stage detection solutions. In addition, we discuss the effectiveness of the detection models on their baseline benchmarks. Finally, we explore several directions for future research on monocular 3D object detection.

scholarly journals Co-Creating New Directions for Service Robots in Hospitality and Tourism

2021 ◽  
Vol 2 (1) ◽  
pp. 43-61
Author(s):  
Francesc Fusté-Forné ◽  
Tazim Jamal
Keyword(s):  
Ethical Issues ◽  
Research Literature ◽  
Service Robots ◽  
Future Research ◽  
Research Attention ◽  
Research And Practice ◽  
Tourism Management ◽  
New Directions ◽  
Hospitality And Tourism ◽  
New Research

Research on the relationship between automation services and tourism has been rapidly growing in recent years and has led to a new service landscape where the role of robots is gaining both practical and research attention. This paper builds on previous reviews and undertakes a comprehensive analysis of the research literature to discuss opportunities and challenges presented by the use of service robots in hospitality and tourism. Management and ethical issues are identified and it is noted that practical and ethical issues (roboethics) continue to lack attention. Going forward, new directions are urgently needed to inform future research and practice. Legal and ethical issues must be proactively addressed, and new research paradigms developed to explore the posthumanist and transhumanist transitions that await. In addition, closer attention to the potential of “co-creation” for addressing innovations in enhanced service experiences in hospitality and tourism is merited. Among others, responsibility, inclusiveness and collaborative human-robot design and implementation emerge as important principles to guide future research and practice in this area.

The Entrepreneurship Educator: Understanding Role Identity

2020 ◽  
pp. 251512742097966
Author(s):  
Birgitte Wraae ◽  
Candida Brush ◽  
Shahrokh Nikou
Keyword(s):  
Role Identity ◽  
Future Research ◽  
Analysis Tool ◽  
Perceptions Of Students ◽  
Significant Research ◽  
Future Research Directions ◽  
The Relationship ◽  
Role Identity Theory ◽  
Depth Interviews

Significant research explores effectiveness of entrepreneurial curriculum, teaching innovations and programs, but less often studied is the role of entrepreneurship educators. The way that the educator sees his or her role relative to the students is of critical importance because this directly influences pedagogy choices, expectations for students and learning outcomes, as well as job satisfaction. While recent studies propose typologies characterizing pedagogical approaches of educators, few of these are based on the data from entrepreneurship educators. Framed within role identity theory, we conducted 13 in–depth interviews to examine how entrepreneurship educators perceive their role. Using the qualitative data analysis tool (NVivo), we analyzed how the relationship between their perceptions of their role and core value orientation is connected to teaching approaches. Results show that these educators view their roles as teacher-focused, network-focused, or student-focused and that these perspectives are associated with different perceptions of students’ role and learning objectives. Further, we find different levels of emphasis on roles and that personal core values are differentially linked to these roles. Implications and future research directions are discussed.

scholarly journals Questioning Racial and Gender Bias in AI-based Recommendations: Do Espoused National Cultural Values Matter?

2021 ◽  
Author(s):  
Manjul Gupta ◽  
Carlos M. Parra ◽  
Denis Dennehy
Keyword(s):  
United States ◽  
Cultural Values ◽  
Gender Bias ◽  
The United States ◽  
Compelling Evidence ◽  
Research Attention ◽  
Academic Literature ◽  
Gender Biases ◽  
Significant Research ◽  
And Gender

AbstractOne realm of AI, recommender systems have attracted significant research attention due to concerns about its devastating effects to society’s most vulnerable and marginalised communities. Both media press and academic literature provide compelling evidence that AI-based recommendations help to perpetuate and exacerbate racial and gender biases. Yet, there is limited knowledge about the extent to which individuals might question AI-based recommendations when perceived as biased. To address this gap in knowledge, we investigate the effects of espoused national cultural values on AI questionability, by examining how individuals might question AI-based recommendations due to perceived racial or gender bias. Data collected from 387 survey respondents in the United States indicate that individuals with espoused national cultural values associated to collectivism, masculinity and uncertainty avoidance are more likely to question biased AI-based recommendations. This study advances understanding of how cultural values affect AI questionability due to perceived bias and it contributes to current academic discourse about the need to hold AI accountable.

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