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Article
Publication date: 21 April 2023

Kai Zhang and Na Yang

This paper aims to construct a new turnover theory to explain and predict employee voluntary turnover in a more in-depth and comprehensive way.

Abstract

Purpose

This paper aims to construct a new turnover theory to explain and predict employee voluntary turnover in a more in-depth and comprehensive way.

Design/methodology/approach

Based on the literature review and theoretical analysis, this paper constructs a new turnover theory called the psychological goal system driving theory of employee turnover.

Findings

The psychological goal system driving theory of employee turnover advocates that there are psychological goals in the individual psychological world that point to the future and seek self-realization, and that there is a synergistic or competitive relationship among different psychological goals, and thus forming a psychological goal system and the dominant goals (including single goal or goal group) that exist in it; the individual’s dominant goals are the source of motivation, which initiate and organize the individual’s cognition and behavior; when the dominant psychological goals are difficult to achieve or destroyed in the original organization, they will produce continuous negative emotions and drive the individual to choose new and suitable job opportunities to realize themselves. Therefore, the dominant psychological goal is the organizer and driver of the employee turnover behavior, and when they are threatened, they will drive individuals to actively terminate the employment relationship with the current organization to better promote or protect their own realization process and sustainable growth.

Originality/value

This paper constructs a new turnover theory based on the self-organization goal system theory of motivation and personality.

Details

Nankai Business Review International, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2040-8749

Keywords

Article
Publication date: 10 October 2023

Merve Gerçek

This study aims to explore the relationships between career competencies and job search self-efficacy via the serial multiple mediation effect of career adaptability and…

Abstract

Purpose

This study aims to explore the relationships between career competencies and job search self-efficacy via the serial multiple mediation effect of career adaptability and self-perceived employability within multiple theoretical frameworks.

Design/methodology/approach

This study adopts a cross-sectional design to collect data at a specific point in time and employs self-report questionnaires to collect data from participants. In total, 302 students from the “management and organization department” in a vocational school of a public university completed the survey forms. To test the hypothesized model, a serial multiple mediation analysis was performed using structural equation modeling (SEM) via SPSS (Statistical Package for Social Sciences) AMOS (Analysis of Moment Structures).

Findings

The results indicated that career competencies, career adaptability, job search self-efficacy and self-perceived employability all had significant and positive relationships. Additionally, the relationship between career competencies and job search self-efficacy was serially mediated by career adaptability and self-perceived employability as anticipated.

Practical implications

Considering the growing importance of the subject of how universities might better prepare their graduates for the job market, the study's findings have important policy implications. University students should also be provided with career management resources, specifically adaptation resources, to help them navigate their individual characteristics and transfer more successfully into the existing job market. This is the cause of the need for constant planning, adaptation, assessment and evaluation of career competencies in current labor markets.

Originality/value

The study contributes to international career development and vocational education research by filling a gap in the literature by demonstrating that job search self-efficacy, which is a predictor of job search behavior, can be promoted by career competencies, career adaptability and self-perceived employability. These findings are particularly significant because they highlight the importance of career-related knowledge, skills and abilities in engaging university students seeking employment in a developing country with a highly competitive labor market.

Details

Higher Education, Skills and Work-Based Learning, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2042-3896

Keywords

Article
Publication date: 20 October 2023

Gaetano Lisi

This study deals with the main issues concerning the interplay between homeownership and labour market outcomes, namely (1) the relation between homeownership and labour market…

Abstract

Purpose

This study deals with the main issues concerning the interplay between homeownership and labour market outcomes, namely (1) the relation between homeownership and labour market outcomes, at both the individual level and the aggregate level, and (2) the relation between homeownership and human capital.

Design/methodology/approach

This paper is both theoretical and empirical. A search and matching model of the labour market is developed to explain the strong relation between mortgage markets and wages. A regional panel analysis in Italy is used to verify the interplay between homeownership and wages.

Findings

Homeownership is not, by itself, a condition for receiving higher wages, but rather higher wages increase the probability to become a homeowner, since they positively affect the probability of acquiring a mortgage from the bank. Eventually, wages cause homeownership, but the reverse may not be true.

Research limitations/implications

The paper focuses on the labour market, while the housing market model is restricted to the mortgage market.

Practical implications

The positive effect of homeownership on wages is hard to theoretically formalise and is not empirically proven. Before investigating a (potential) bidirectional relationship between homeownership and labour market outcomes, therefore, the related literature should assume a new theoretical link between homeowners and wages.

Social implications

The result that “homeownership is not, by itself, a condition for receiving higher wages” has positive implications for human and social development. If homeownership could lead to better labour market outcomes, indeed, socio-economic inequalities would increase in the society, because homeownership would be the starting point of a “lucky” circle that increases the well-being of people who are already wealthy.

Originality/value

First, this study clearly explains why the microeconomic result that homeowners are more likely to be employed than tenants is consistent – at the aggregate level – with a negative relation between homeownership and better labour market outcomes. Second, the related literature has largely ignored the social implications of the topic. A potential bidirectional relation between homeownership and (better) labour market outcomes, indeed, could imply an increase in the well-being of people who are already wealthy.

Details

Journal of Economic Studies, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0144-3585

Keywords

Article
Publication date: 20 March 2024

Adolfo Carballo-Penela, Emilio Ruzo-Sanmartín and Belén Bande

This article aims to provide knowledge on the antecedents and consequences of individual proactive behaviour. The proposed research model includes two unexplored antecedents…

Abstract

Purpose

This article aims to provide knowledge on the antecedents and consequences of individual proactive behaviour. The proposed research model includes two unexplored antecedents (experienced meaningfulness of work and industry competitive intensity) and one consequence (individual proficiency).

Design/methodology/approach

Data were collected from 297 salespeople working at 105 enterprises in a range of industries. Data analysis was performed by applying confirmatory factor analysis and structural equation modelling.

Findings

The results show (1) a positive association between industry competitive intensity and salespeople’s experienced meaningfulness of work and their proactivity at work; (2) a positive relationship between salespeople’s proactive behaviour and their individual proficiency and (3) that salespeople’s proactivity mediates the relation between industry competitive intensity and the experienced meaningfulness of work and individual proficiency.

Originality/value

The results suggest that managers could stimulate proactive behaviour by increasing the experienced meaningfulness of work. They also indicate that it is not only individual factors that are relevant in stimulating proactive behaviour at work, as contextual factors (particularly external ones) can also influence individual decisions with regard to engaging or not in proactive behaviour. Our findings regarding the positive relationship between proactivity and proficiency would help managers to encourage salespeople’s proactive behaviour.

Details

Baltic Journal of Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-5265

Keywords

Article
Publication date: 14 December 2022

Rajesh Gupta and Navya Bagga

Employment exchanges have been playing a significant role in the worldwide labor market for more than a hundred years now. In India, since 1946, millions of aspiring Indian youths…

Abstract

Purpose

Employment exchanges have been playing a significant role in the worldwide labor market for more than a hundred years now. In India, since 1946, millions of aspiring Indian youths have registered themselves with the government-run employment exchanges to find a job. About four million job seekers got registered at 1,000 employment exchanges in India, it is important to analyze the placement statistics of these exchanges. In recent years, new methods of job search have evolved. This study examines whether employment exchanges are effective in the changed scenario?

Design/methodology/approach

Using state-level employment exchange data for the period 2010–2011 to 2019–2020, this study analyzes the determinants of job placement at employment exchanges in India. A critical analysis of the functioning of employment exchanges along with recommendations to improve the job search ecosystem in India is also presented in the study.

Findings

This study found that increased share of service sector in the state economy negatively impacts placement at employment exchanges.

Research limitations/implications

The absence of focus on the service sector requires policy intervention if Indian employment exchanges are to remain relavant.

Practical implications

The government administration should rethink that ignoring service sector employment potential is unaffordable for an emerging economy and employment exchanges should be aligned accordingly.

Social implications

About 30 million people are unemployed in India. If employment exchanges are transformed, it can have far-reaching socio-economic advantages.

Originality/value

This study is the first sub-country level study on the institution of employment exchanges. This study comprehensively maps the landscape of career services in India. Empirically establishing the impact of sectoral structure of economy on efficacy of employment exchanges, and makes the case for policy intervention that is needed to keep the employment exchanges relevant in India.

Details

Journal of Economic and Administrative Sciences, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1026-4116

Keywords

Article
Publication date: 22 September 2023

Chengkuan Zeng, Shiming Chen and Chongjun Yan

This study addresses the production optimization of a cellular manufacturing system (CMS) in magnetic production enterprises. Magnetic products and raw materials are more critical…

Abstract

Purpose

This study addresses the production optimization of a cellular manufacturing system (CMS) in magnetic production enterprises. Magnetic products and raw materials are more critical to transport than general products because the attraction or repulsion between magnetic poles can easily cause traffic jams. This study needs to address a method to promote the scheduling efficiency of the problem.

Design/methodology/approach

To address this problem, this study formulated a mixed-integer linear programming (MILP) model to describe the problem and proposed an auction and negotiation-based approach with a local search to solve it. Auction- and negotiation-based approaches can obtain feasible and high-quality solutions. A local search operator was proposed to optimize the feasible solutions using an improved conjunctive graph model.

Findings

Verification tests were performed on a series of numerical examples. The results demonstrated that the proposed auction and negotiation-based approach with a local search operator is better than existing solution methods for the problem identified. Statistical analysis of the experiment results using the Statistical Package for the Social Sciences (SPSS) software demonstrated that the proposed approach is efficient, stable and suitable for solving large-scale numerical instances.

Originality/value

An improved auction and negotiation-based approach was proposed; The conjunctive graph model was also improved to describe the problem of CMS with traffic jam constraint and build the local search operator; The authors’ proposed approach can get better solution than the existing algorithms by testing benchmark instances and real-world instances from enterprises.

Details

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

Keywords

Article
Publication date: 15 March 2023

Sonja Brauner, Matthias Murawski and Markus Bick

The current gap between the required and available artificial intelligence (AI) professionals poses significant challenges for organisations and academia. Organisations are…

Abstract

Purpose

The current gap between the required and available artificial intelligence (AI) professionals poses significant challenges for organisations and academia. Organisations are challenged to identify and secure the appropriate AI competencies. Simultaneously, academia is challenged to design, offer and quickly scale academic programmes in line with industry needs and train new generations of AI professionals. Therefore, identifying and structuring AI competencies is necessary to effectively overcome the AI competence shortage.

Design/methodology/approach

A probabilistic topic model was applied to explore the AI competence categories empirically. The authors analysed 1159 AI-related online job ads published on LinkedIn.

Findings

The authors identified five predominant competence categories: (1) Data Science, (2) AI Software Development, (3) AI Product Development and Management, (4) AI Client Servicing, and (5) AI Research. These five competence categories were summarised under the developed AI competence framework.

Originality/value

The AI competence framework contributes to clarifying and structuring the diverse AI landscape. These findings have the potential to aid various stakeholders involved in the process of training, recruiting and selecting AI professionals. They may guide organisations in constructing a complementary portfolio of AI competencies by helping users match the right competence requirements with an organisation's needs and business objectives. Similarly, they can support academia in designing academic programmes aligned with industry needs. Furthermore, while focusing on AI, this study contributes to the research stream of information technology (IT) competencies.

Details

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

Keywords

Open Access
Article
Publication date: 19 May 2022

Rosa Portela Forte and Sérgio Carvalho

The purpose of this study is to analyze the influence of the firms' external environment on their export intensity. More specifically, it assesses whether domestic market…

1743

Abstract

Purpose

The purpose of this study is to analyze the influence of the firms' external environment on their export intensity. More specifically, it assesses whether domestic market characteristics such as domestic demand and general export environment related to tradability across borders affect firms' export intensity.

Design/methodology/approach

The authors use a sample of 29,266 firms from nine European countries, for the period of 2010–2016, and test several estimation methods (random effects models, Tobit models, and Heckman's selection models).

Findings

Results show that external factors such as domestic demand and ease of trade across borders are important determinants of firms' export intensity. Moreover, results reveal that firm's internal characteristics such as age, size and productivity also play an import role.

Originality/value

Studies about the influence of the firms' external environment on firms' export intensity are scarce because most of them are confined to a single country context. In this way, the present study contributes to the body of knowledge on the influence that external factors can have on firms' export performance by analyzing firms from nine European countries, which has important policy implications.

Details

EuroMed Journal of Business, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1450-2194

Keywords

Article
Publication date: 28 November 2023

Renfei Gao, Jane Lu, Helen Wei Hu and Geoff Martin

The rapid, yet low-profit, expansion of the production capacity of state-owned enterprises (SOEs) represents a remarkable phenomenon. However, the motivation behind this key…

Abstract

Purpose

The rapid, yet low-profit, expansion of the production capacity of state-owned enterprises (SOEs) represents a remarkable phenomenon. However, the motivation behind this key operational decision remains underexplored, especially concerning the prioritization of sociopolitical and financial goals in operations management. Drawing on the multiple-goal model in the behavioral theory of the firm (BTOF), the authors' study aims to examine how SOE capacity expansion is driven by performance feedback regarding the sociopolitical goal of employment provision and how SOEs differently prioritize sociopolitical and financial goals based on negative versus positive feedback on the sociopolitical goal.

Design/methodology/approach

The authors' study uses panel data on 826 Chinese SOEs in manufacturing industries from 2011 to 2019. The authors employ the fixed-effects model with Driscoll–Kraay standard errors, which are robust to heteroscedasticity, autocorrelation and cross-sectional dependence.

Findings

The authors find that SOEs increase capacity expansion as sociopolitical feedback becomes more negative, but they may not increase capacity expansion in response to positive sociopolitical feedback. Moreover, negative profitability feedback strengthens SOEs' capacity expansion in response to negative sociopolitical feedback. In contrast, negative profitability feedback weakens their response to positive sociopolitical feedback.

Originality/value

The authors' study offers a novel behavioral explanation of SOEs' operational decisions regarding capacity expansion. While the literature has traditionally assumed multiple goals as either hierarchical or compatible, the authors extend the BTOF's multiple-goal model to illuminate when firms pursue sociopolitical and financial goals as compatible (i.e. the activation rule) versus hierarchical (i.e. the sequential rule), thereby reconciling their tension in distinct performance situations. Practically, the authors provide fine-grained insights into how operations managers can prioritize multiple goals when making operational decisions. The authors' study also shows how policymakers can influence SOE operations to pursue sociopolitical goals for public benefit.

Details

International Journal of Operations & Production Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0144-3577

Keywords

Article
Publication date: 19 February 2024

Ambra Poggi

The aim of this paper is to empirically investigate whether social contacts can mediate the way in which current unemployment impacts future unemployment.

Abstract

Purpose

The aim of this paper is to empirically investigate whether social contacts can mediate the way in which current unemployment impacts future unemployment.

Design/methodology/approach

We use 2006–2017 data from the Household Income and Labour Dynamics in Australia (HILDA) survey and a dynamic random-effects model to describe the evolution of individual unemployment status over time.

Findings

Once controlled for the local context where individuals live and create friendships, we find that above-average social contacts reduce unemployment persistence. However, social contacts seem to be slightly less effective in deprived neighborhoods. These findings are consistent with the idea that individuals obtain information about job opportunities through a network of social contacts, and unemployment may lead to a decay of social capital, making it more difficult to find employment in future periods. Our results also show that neighborhood deprivation increases individual unemployment risk, while above-average neighborhood cohesion reduces the probability of unemployment in deprived neighborhoods.

Originality/value

Although many studies have been published on unemployment persistence, to the best of the author's knowledge, this is the first study quantifying the impact of social contacts on unemployment persistence. The study also offers fresh empirical evidence on the impact of neighborhood characteristics on unemployment risk.

Details

International Journal of Manpower, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0143-7720

Keywords

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