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The purpose of this paper is to understand the drivers that create complexity in the supply chain and develop a mathematical model to measure the level of supply chain complexity (SCC).

Through extensive literature review, the authors discussed various drivers of SCC. These drivers were classified into five dimensions based on expert opinion. Moreover, a novel hybrid mathematical model was developed by integrating analytical hierarchy process (AHP) and grey relational analysis (GRA) methods to measure the level of SCC. A case study was conducted to demonstrate the applicability of the developed model and analyze the SCC level of the company in the study.

The authors identified 22 drivers of SCC, which were further clustered into five complexity dimensions. The application of the developed model to the company in the case study showed that the SCC level of the company was 0.44, signifying that there was a considerable scope of improvement in terms of minimizing complexity. The company that serves as the focus of this case study mainly needs improvement in tackling issues concerning government regulation, internal communication and information sharing and company culture.

In this paper, the authors propose a model by integrating AHP and GRA methods that can measure the SCC level based on various complexity drivers. The combination of such methods, considering their ability to convert the inheritance and interdependence of drivers into a single mathematical model, is preferred over other techniques. To the best of the authors' knowledge, this is the first attempt at developing a hybrid multicriteria decision-based model to quantify SCC.

Personnel economics tends be based on single-firm case studies. Here, we examine several internal labor market dimensions of nearly 5,000 firms, over a period of 20 years, using detailed matched employer–employee data from Portugal. In the spirit of Baker, Gibbs, and Holmstrom (1994a, 1994b), we consider worker turnover, the role of job levels and human capital as wage determinants, wage dispersion within job levels, the importance of tenure in promotions and exits, and the scope for careers. We find a large degree of diversity in most of these personnel dimensions across firms. Moreover, some dimensions are shown to be robust predictors of firm performance, even after controlling for time-invariant firm heterogeneity and other variables. These dimensions include low worker churning, the importance of careers, low wage dispersion at low and intermediate job levels, and a tight relationship between human capital variables and wages.

This chapter studies the consequences of firm delayering on wages and the wage distribution inside firms. I consider a market-based tournament model with asymmetric information to endogenize firms’ delayering decisions. My model predicts that when the CEO becomes more productive, firms grow in size. When the CEO becomes sufficiently productive, firms delayer. After delayering, wages at all levels rise and the wage gap between the CEO and the laborers widens. These predictions capture the dynamic process of firms’ structure and size changes and match a set of empirical findings in recent studies that are not well explained by existing theories.

The main function of hierarchies is to coordinate activities within an organization, but a hierarchical structure also provides work incentives, by offering the prospect of hierarchical mobility. An alternative way for organizations to motivate workers is through job design. In organizations offering rewarding jobs, the incentivizing role of hierarchies may become obsolete, and the number of hierarchical levels can be reduced. Two job design features are particularly relevant: autonomy and problem-solving. We investigate the relationship between the number of hierarchical layers and job design features empirically using the European Company Survey (ECS 2019). We find that the extent of the adoption of both complex job design and autonomous teamwork is negatively associated with the number of hierarchical layers. However, the association between complex job design and the number of hierarchical layers is weakened, and in some cases disappears, in larger organizations where hierarchies have a more important coordination role and it is weakened when the knowledge acquisition costs are high. The use of autonomous teams is robustly negatively associated with the number of hierarchical layers.

To mitigate uncertainties in the labour market, it has been argued that technology diffusion in entrepreneurship drive is essential to increase employment capacity. Against this backdrop, this study examined how social entrepreneurship and technology diffusion impact future employment in Nigeria. In addition, this study aims to contribute to the policy dialogue for the realisation of the United Nations Sustainable Development Goals (SDGs) of decent work and economic growth (SDG-8) and industry, innovation and infrastructure (SDG-9).

The data from the youth entrepreneurship with innovation (YouWiN) baseline survey was used. The study applied propensity score matching to achieve its objectives. This study defines social entrepreneurship as firms established solely to create social values. Similarly, technology diffusion is captured by the firm’s ownership of a website and communication with clients through email, while future employment is captured by the estimated number of people the business may employ in the next five years, if still in operation.

The results from the study show that social entrepreneurship and technology diffusion has a significant impact on future employment. The result implies that social entrepreneurship may contribute approximately 21% to the employment level in the future. Similarly, technology diffusion – ownership of a website and communication with clients through email increase the firm’s ability to contribute to future employment by 65% and 71%, respectively.

One of the limitations of the research is that the study is quantitative in nature. Thus, qualitative information that could have added additional value to the study was not considered. As a recommendation, further studies should consider using a mixed method by adding qualitative information while examining the concept of social entrepreneurship and employment.

These findings suggest that ownership of a website, communicating with clients via email and involvement in social entrepreneurship contribute significantly to future employment in Nigeria. This finding shows that social entrepreneurship is crucial for reducing future employment uncertainties. Social enterprises will enhance the capacity of the economy to attain sustainable economic development. Therefore, the study concludes by recommending that policies to enhance social entrepreneurship awareness and promotion should be implanted to expand the knowledge of social enterprise as a unique business entity that drives employment.

These findings suggest that ownership of a website, communicating with clients via email and involvement in social entrepreneurship contribute significantly to future employment in Nigeria. This finding shows that social entrepreneurship is crucial for reducing future employment uncertainties. Social enterprises will enhance the capacity of the economy to attain sustainable economic development. Therefore, the study concludes by recommending that policies to enhance social entrepreneurship awareness and promotion should be implanted to expand the knowledge of social enterprise as a unique business entity that drives employment.

Though prior studies have examined the contribution of entrepreneurship to employment; however, integration of technology diffusion in the concept of social entrepreneurship and employment literature is relatively sparse. Therefore, this study fills this gap by investigating how the diffusion of technology by social entrepreneurs impacts future employment in Nigeria.

This paper aims to shed light on an impact of Google keywords on the number of new businesses (and an amount of capital registered) in Vietnam, the Southeast Asian country, after the year of an entrepreneur, 2016.

This study uses a rich set of quantitative techniques from VAR Granger and threshold regression. The whole sample period covers the data (keywords, number of new businesses, an amount of capital invested to register) from the first week of 2016 to October 2018, which includes 144 observations in total.

The findings suggest that the relationship between Google does not persist in the long run. There is a short-run shock, might cause a change to the frequency of the other keywords rather than the number of firms (or an amount of capital). However, under the number of firms’ threshold, keywords have the both positive and negative impacts on entrepreneurs whereas a higher threshold of capital, keywords show their roles to predict an amount of money for registering firms.

The Vietnamese Government and executives are advised to consider the Google keywords “entrepreneur” (in Vietnamese) and “start-up”, which cause a decline in entrepreneurial movements. In addition, the current period is going to inverse from the previous one in terms of the number of firms and an amount of capital. Finally, there are two critical thresholds: 1,602 companies and 35,010m VND for the keywords' influence.

This study contributes empirical evidence of technological change and entrepreneurship and contributes to the existing literature by discussing how this relationship under the threshold.

The purpose of this study is to investigate the moral licensing effect of other in-group members' organizational citizenship behavior (OCB) on focal employees' organizational deviance through moral self-concept. This paper also examines the moderating role of in-group identification in the mediated relationship.

The multilevel path analysis and bootstrapping technique are employed to analyze the findings of a sample of 340 employees in 56 workgroups in Vietnam.

The results demonstrate that moral self-concept mediates the positive relationship between other in-group members' OCB and focal employees' organizational deviance. Furthermore, the findings indicate that in-group identification strengthens the indirect effect of other in-group members' OCB on focal employees' organizational deviance via moral self-concept.

The findings suggest that managers should be aware of the potential negative consequences of OCB and the drawbacks of in-group identification in group contexts. In addition, practitioners should proactively prevent other in-group members' OCB from resulting in employees' organizational deviance.

This is the first study to examine the moral licensing effect of OCB on organizational deviance through the moral self-concept mechanism and the moderating role of in-group identification in this mediated relationship.

The purpose of this paper is to analyze the variables improving the business model and provide a theoretical basis for the scientific implementation of the current financial strategy.

According to the principle of testability, availability and correlation, the annual data are uses to measure the interaction level of business system in order to accurately reflect the evolution of the financial decision, and explore the main factors restricting the multiple strategies coordination.

The promotion of business growth relies mainly on the coordinated development of innovation, industries, consumption, investment and export. Further transformation and upgrading is one of the paths to achieve the coordinated development of financial strategy multiple objectives. The irrational business structure is the main obstacle to that coordination.

In future research, it may be possible to identify “a financial broader strategy impact discussion for impact on Basel, IMF/World Bank and Capital Foundations or other regulatory strategies to avert future economic crises.” If so, it should be possible for financial institutions to use the results of research examining antecedents to better manage their experiences so as to foster the development of the desired strategies.

The initiatives taken to try to clarify the variables improving the business model and provide a theoretical basis for the scientific implementation of the current financial strategy show how complex it seems to identify practices and those to be developed as a priority. Institutions tend to adopt an increasingly wide range of commonly accepted strategical practices, such as coordinated-determining practices, without really knowing the effect of their interaction on efficient Management processes. In this regard, this paper provides practical advice that may assist successful adaptation for institutions leaders. The study provides new insights into the understanding of the coordinated strategy mechanisms that can influence the optimization of the interaction level of decision control and promote the effectiveness of managerial practices in determining the business model. Always in terms of practical implications, the findings from this paper may be particularly pertinent for managers in public administration and institutional decision makers in many countries across the world where traditionally, the administrators may be more business-intelligence-averse than their counterparts in the private sectors. The specificities of such business model as regarding their constraints concerning the coordinated strategy may reflect at both structural as well as individual levels, considering the predominantly rigid nature of the planning in many configuration.

The conclusion provides a theoretical basis for the scientific implementation of the current monetary strategy.

The purpose of this paper is to empirically investigate the impact of economic policy uncertainty on firms' labor investment decision, which includes labor investment level and efficiency, especially human capital allocation.

This paper uses Economic Policy Uncertainty Index for China and Chinese A-share listed firms in the period 2002–2016 to constructs a sample of 20,779 firm-year observations and applies the methods of pooled OLS regressions to do an empirical study.

This paper finds that firms' labor investment is negatively correlated with economic policy uncertainty. And firms' labor investment efficiency (and overinvestment in labor) is positively (negatively) correlated with economic policy uncertainty, which is more significant for non-SOEs and firms with less government intervention. Further, the positive relation between economic policy uncertainty and labor investment efficiency is more significant for labor-intensive firms, firms in competitive industry, firms in developed labor market and firms under strong labor law protection. In addition, economic policy uncertainty induces firms to make adjustment on human capital structure and allocate more employees with high human capital, which eventually helps firms achieve higher total factor productivity.

The study of this paper indicates that the government needs to consider economic policies' impact on firms when introducing and changing policies and guide firms to improve human capital allocation under different internal and external conditions to finally realize the optimal allocation of social resources.

This paper studies the influence of external economic policy environment on firms' labor investment decision, which lacks adequate attention in the literature and indicates that under economic policy uncertainty, firms actively decrease labor demand and increase labor investment efficiency by optimizing human capital allocation.

Understanding matching patterns and determinants of attracting quality talents is an under-researched area, especially from a firm perspective. Firm’s recruitment strategies have an impact on the sorting patterns in the labour market which remains undetermined. This paper aims to explore the drivers of attracting and recruiting quality talents. Also, the role of policies including the national labour laws, industry norms and localised firm policies have on hiring practices and drivers in a developing country.

This study is underpinned by network theory, equity theory, social exchange theory and resource-based theory. The authors leveraged on a mixed methodology that is a structured questionnaire administered to 200 firm representatives in Lagos and interviews with key informants from the demand side for labour.

The study revealed that firms can leverage on salary, brand name, referral, job security as core factors in attracting and recruiting quality talents. Also, digitisation is a key strategy leveraged on attracting and recruiting quality talents. Techniques such as the use of social media, traditional media, online interviews, physical interviews have proven to help in selecting quality talents.

Specifically, the paper throws light on how firms use different recruitment channels for hiring workers, and how the use of these channels affects the quality of matches. Furthermore, the role of social networks, wages and benefits for firm recruitment and matching efficiency was well highlighted.