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The purpose of this paper was to explore how retained knowledge from degrees in business administration or management served entrepreneurs in building up successful enterprises in a high environmental turbulence and competitive condition in the region.

The survey was conducted in the country of Northern Macedonia and Kosovo, targeting only owners of the enterprises in any of the business sectors. The sample consisted of 400 respondents. Data obtained was analyzed using descriptive statistics, reliability measures and Pearson correlation coefficient using SPSS.

Main findings reveal strong positive relationship between knowledge gained at formal learning on promotion of organization’s positive image and an appreciation of the human resources contribution within organization; entrepreneurs who promote organization’s positive image are found to be effective negotiators, which develop sustainable and respectful relationships with business partners. Finally, strong positive correlation is found between the entrepreneurs who are able to control their emotions at any given situation, and avoid making a sudden decision, during a highly emotional moment.

To the best of the authors’ knowledge, this research is among the first research that explores the power of degrees in business administration/management and career development as entrepreneurs and how these relationships influenced individuals’ learning and affect behavior at workplace in transition communities, such as Kosovo and North Macedonia.

Appearance is part of a person's non-verbal communication, and looks are often associated with the perceived ‘attractiveness’ of individuals for hiring practices in the workplace. As such, physical attractiveness can be a ‘prized possession’ when it comes to leaving a positive impression on managers who are interviewing candidates. In the twenty-first century environment, our society seems to be more obsessed with physical appearance than ever before because society has conditioned us to associate beauty with other favourable characteristics. Of course, such appearance norms, regarding attractiveness, ‘good looks’ and beauty are linked to years of socialisation in culture, cultural norms and materialistic personality standards.

In a business context, managers and employers often make hiring decisions based on the appearance and attractiveness of the job applicants since outward appearance seems to play a significant role in which candidates eventually might get the job. Physically attractive job applicants and candidates tend to benefit from the unearned privilege, which often comes at a cost to others who are equally qualified. Preferring employees who are deemed to be attractive, and consequently discriminating against those who are perceived as unattractive, can present legal and ethical challenges for employers and managers. In this chapter, we provide a discussion and reflection of appearance-based hiring practices in the United States with relevant legal, ethical and practical implications for employers, human resources professionals and managers. We focus on ‘lookism’ or appearance discrimination, which is discrimination in favour of people who are physically attractive. As such, we examine federal, state and local laws regarding appearance discrimination in the American workplace. We also offer sustainable policy recommendations for employers, HR professionals and managers on how they can be fair to all candidates in order to hire, promote and retain the most qualified professionals in their departments and organisations.

Cambodian and Laotian students (CLS) are among the largest groups of international students in intra-ASEAN student mobility as well as in Vietnamese higher education institutions (HEIs). However, little has been researched on the factors influencing CLS’s decision to choose Vietnam as destination country. The purpose of this study is to investigate why CLS decide to go overseas and choose Vietnam as their host country among other opportunities as well as their perceptions of the decision.

Using qualitative methods and employing purposive sampling, data were collected by semi-structured interviews from CLS studying in a HEI in the Mekong Delta of Vietnam. The data were analysed against the push–pull framework to understand factors influencing the participants’ decision.

The findings show that CLS in the study were “pushed” by the perceived higher value of a foreign qualification and family encouragements. In terms of pull factors, they were attracted to choose Vietnam as the host country most observably due to scholarship opportunities. However other pull factors were also significant, especially the lack of certain skills in home countries and its congruence with Vietnam’s competitive strength in offering courses for those skills. In retrospect, the participants expressed a sense of optimism, though there was also certain reservation.

The small sample restrict the generalisability of the findings.

As an exploratory study, the findings can lay the ground for largerscale studies investigating CLS mobility in Vietnam and be employed for inbound student mobility policymaking reference for HEIs in Vietnam as well as in other developing countries.

This study investigates why Cambodian and Laotian international students decide to go to Vietnam, a developing country in the lesser-known part of international student mobility landscape. This is a topic that remains under-researched in the Asia-bound student mobility literature. Insights from the study can not only contribute to the scholarly gap but also offer implications for HEIs in Vietnam and other Asian countries.

Data science promises new opportunities for organizational decision-making. Data scientists arguably play an important role in this regard and one can even observe a certain “buzz” around this nascent occupation. This paper enquires into how data scientists construct their occupational identity and the challenges they experience when enacting it.

Based on semi-structured interviews with data scientists working in different industries, the authors explore how these actors draw on their educational background, work experiences and perception of the contemporary digitalization discourse to craft their occupational identities.

The authors identify three main components of data scientists’ occupational identity: a scientific mindset, an interest in sophisticated forms of data work and a problem-solving attitude. The authors demonstrate how enacting this identity is sometimes challenged through what data scientists perceive as either too low or too high expectations that managers form towards them. To address those expectations, they engage in outward-facing identity work by carrying out educational work within the organization and (paradoxically) stressing both prestigious and non-prestigious parts of their work to “tame” the ambiguity and hype they perceive in managers’ expectations. In addition, they act upon themselves to better appreciate managers’ perspectives and expectations.

This study contributes to research on data scientists as well as the accounting literature that often refers to data scientists as new competitors for accountants. It cautions scholars and practitioners alike to be careful when discussing the possibilities and limitations of data science concerning advancements in accounting and control.

The purpose of this paper is to propose a framework for evaluating the relationship between China and Peru, drawing on dependency theory, against the backdrop of China’s explicit policies towards foreign direct investment. It seeks to transcend traditional interpretations of this relationship in the literature that focuses on China as either hegemon or a South–South partner to Latin American countries to highlight a more nuanced relationship.

The paper adopts a case study approach, focusing on China in Peru. The authors examine three areas of traditional, strategic and emerging industries drawing from Chinese national policies, reviewing these against characteristics of dependency: control of production, heterogeneity of actors, transfer of knowledge and delinking.

The authors find that Chinese foreign direct investment (FDI) in Peru demonstrates mixed motives and collectively operates as an ambiguous player. Chinese firms appear to be willing to work with various actors, but this engagement does not translate into a decolonial development alternative in the absence of a Peruvian political will to delink and Chinese willingness to actively transfer control of production and knowledge.

This paper contributes to existing literature on China in Latin America by evaluating Chinese outward FDI in Peru against China’s strategic aims in terms of a re-evaluation of dependency theory.

This paper aims to present the simulation, fabrication and testing of a novel ultra-wide band (UWB) band-pass filters (BPFs) with better transmission and rejection characteristics on a low-loss Taconic substrate and analyze using the coupled theory of resonators for UWB range covering L, S, C and X bands for radars, global positioning system (GPS) and satellite communication applications.

The filter is designed with a bent coupled transmission line on the top copper layer. Defected ground structures (DGSs) like complementary split ring resonators (CSRRs), V-shaped resonators, rectangular slots and quad circle slots (positioned inwards and outwards) are etched in the ground layer of the filter. The circular orientation of V-shaped resonators adds compactness when linearly placed. By arranging the quad circle slots outwards and inwards at the corner and core of the ground plane, respectively, two filters (Filters I and II) are designed, fabricated and measured. These two filters feature a quasi-elliptic response with transmission zeros (TZs) on either side of the bandpass response, making it highly selective and reflection poles (RPs), resulting in a low-loss filter response. The transmission line model and coupled line theory are implemented to analyze the proposed filters.

Two filters by placing the quad circle slots outwards (Filter I) and inwards (Filter II) were designed, fabricated and tested. The fabricated model (Filter I) provides transmission with a maximum insertion loss of 2.65 dB from 1.5 GHz to 9.2 GHz. Four TZs and five RPs are observed in the frequency response. The lower and upper stopband band width (BW) of the measured Filter I are 1.2 GHz and 5.5 GHz of upper stopband BW with rejection level greater than 10 dB, respectively. Filter II (inward quad circle slots) operates from 1.4 GHz to 9.05 GHz with 1.65 dB maximum insertion loss inside the passband with four TZs and four RPs, which, in turn, enhances the filter characteristics in terms of selectivity, flatness and stopband. Moreover, 1 GHz BW of lower and upper stopbands are observed. Thus, the fabricated filters (Filters I and II) are therefore evaluated, and the outcomes show good agreement with the electromagnetic simulation response.

The limitation of this work is the back radiation caused by DGS, which can be eradicated by placing the filter in the cavity and retaining its performance.

The proposed UWB BPFs with novel resonators find their role in the UWB range covering L, S, C and X bands for radars, GPS and satellite communication applications.

To the best of the authors’ knowledge, for the first time, the authors develop a compact UWB BPFs (Filters I and II) with BW greater than 7.5 GHz by combining reformed coupled lines and DGS resonators (CSRRs, V-shaped resonators [modified hairpin resonators], rectangular slots and quad circle slots [inwards and outwards]) for radars, GPS and satellite communication applications.

A semiparametric stochastic frontier model is proposed for panel data, incorporating several flexible features. First, a constant elasticity of substitution (CES) production frontier is considered without log-transformation to prevent induced non-negligible estimation bias. Second, the model flexibility is improved via semiparameterization, where the technology is an unknown function of a set of environment variables. The technology function accounts for latent heterogeneity across individual units, which can be freely correlated with inputs, environment variables, and/or inefficiency determinants. Furthermore, the technology function incorporates a single-index structure to circumvent the curse of dimensionality. Third, distributional assumptions are eschewed on both stochastic noise and inefficiency for model identification. Instead, only the conditional mean of the inefficiency is assumed, which depends on related determinants with a wide range of choice, via a positive parametric function. As a result, technical efficiency is constructed without relying on an assumed distribution on composite error. The model provides flexible structures on both the production frontier and inefficiency, thereby alleviating the risk of model misspecification in production and efficiency analysis. The estimator involves a series based nonlinear least squares estimation for the unknown parameters and a kernel based local estimation for the technology function. Promising finite-sample performance is demonstrated through simulations, and the model is applied to investigate productive efficiency among OECD countries from 1970–2019.

Applying the internationalization process model (IPM) and the strategic fit perspective, this research aims to test the effects of firm age on Chinese firms’ outward foreign direct investment (OFDI) in developing and developed countries.

Using data on some Chinese firms, this study applied the zero-inflated negative binomial model and Heckman two-stage model to do the analyses.

This research found that firm age has different effects on Chinese firms’ OFDI in developed and developing countries. State ownership and industry munificence independently and jointly can moderate these effects.

This study contributes to the IPM and solves the theoretical conflict about the firm age–OFDI relationship.