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The purpose of the present study is to examine the general and travel-specific job exhaustion of international business travelers (IBTs). The study employs a JD-R model to explain general and travel-specific job exhaustion (IBTExh) through international business travel as demand and leadership (LMX) as a resource buffering the demands of international business travel.

The study was conducted among Finnish service company employees who had taken at least one international business trip during the previous year. The data (N = 569), collected in 2015, were analyzed with path models.

The results suggest that a higher number of international business travel days is related to a higher level of job exhaustion, especially the exhaustion related to international business travel. Moreover, a high-quality LMX was found to be linked to lower levels of both types of exhaustion. Interestingly, for those IBTs' with a low-quality LMX, even a high number of long-haul international business travel days was not connected with IBTExh

The contribution of our study is threefold. First, this study contributes to JD-R theory and the ill-health process by focusing on a job-specific well-being indicator, IBTExh, in addition to general exhaustion. Second, specific job demands related to international business travel, particularly the duration of business travel spent in short-haul and long-haul destinations, contributes to the literature on global mobility. This study sheds light on the potential effects on IBTs of different types of business travel. Third, our study contributes to the leadership literature and the importance of acknowledging the context in which LMX occurs.

This study examines the durations of US stock market cycle expansions and contractions for the presence of seasonality. Specifically, it is determined whether the distributional characteristics (i.e., location and dispersion) of the durations of market expansions and contractions are dependent on the time of the year the market phase begins or ends. The duration data are obtained from a stock market chronology of monthly peak and trough dates for the period May 1835 through July 1998 and nonparametric rank‐based tests are used to test for the presence of seasonality. In order to provide some evidence on robustness with respect to the sample data, results are obtained for the entire sample period as well as for various sub‐periods. When the data are aggregated on a quarterly basis, the evidence suggests that seasonal structures are present in stock market cycle durations. These seasonals are related primarily to shifts in location over the course of the year and to when a market expansion or contraction begins. However, when the duration data are aggregated on a bi‐annual basis, support for seasonality is much more limited.

This study aims to identify the competencies of small- and medium-sized enterprises’ (SMEs) entrepreneurs in the software sector and the perceived level of attainment in each competency. It also examines whether these competencies and their levels affect business turnover and growth (in terms of business scale and duration).

To accomplish this purpose, the study took a quantitative approach, involving a survey of 33 SME entrepreneurs, which was then processed using statistical tests, including chi-square test, Kruskal–Wallis test and ordinal regression.

There were four findings of the study. Firstly, software SME entrepreneurs need 17 competencies, with high levels of soft competencies being required and average levels of technical competencies. Secondly, there are significant differences in perceived levels of customer service orientation (p = 0.089) depending on the scale of the business and in perceived levels of project management (p = 0.087) depending on the duration of the business. Thirdly, customer service orientation (p = 0.031) and project management (p = 0.01) both have a significant influence on business revenues. Fourthly, there were significant gaps in perceived levels of competency (p < 0.05) in achievement orientation, customer service orientation and project management.

There is existing research that conducts competency mappings at the managerial level in large-scale organizations; however, this sort of research in relation to SME entrepreneurs is still lacking. The present study seeks to fill this gap. It also maps integrated entrepreneurial competencies, including soft and technical competencies; a focus that is lacking in previous studies.

The purpose of this paper is to analyse the determinants of the survival of Spanish companies.

Two approaches are used and they are complementary. The first approach analyses the determinants of survival probability. For this purpose, a binary choice model is built and estimated using a sample of companies from the main economic sectors taken from the SABI database. Likewise, the Blinder–Oaxaca decomposition is applied to quantify the difference between companies with employees and without employees and the proportion of this difference that owes to observed factors or unobserved factors. Finally, the second approach is a survival analysis carried out through the Cox proportional hazard model that identifies the determinants of the duration of business activity.

The results of the empirical analysis show that companies without employees present less favourable conditions for survival at all stages of their evolution than companies with employees.

The contribution of this study to the empirical literature consists in analysing the difference between companies with and without employees. Due to the structure of Spanish companies, this aspect and the determinants of such difference are essential for policymakers to increase the survival for companies.

This paper aims to assess the impact of green supply chain management (GSCM) practices on the triple bottom line’s economic, social and environmental performance of Sri Lankan apparel manufacturers.

This quantitative study uses a deductive approach. The practice-based view is used to support the conceptual framework. The partial least square structural equation modelling technique empirically assessed the conceptual model using 164 responses from Sri Lankan apparel manufacturers through a structured survey questionnaire. Apart from examining the direct effects of GSCM practice on the triple bottom line, the study also investigated the moderating effects of firm size and duration.

The results show that GSCM practices positively affect the organisation’s triple bottom line while business size and duration moderate the said relationship.

The fact that this study is based on Sri Lankan apparel producers may impact the generalizability of the findings across different industries and countries. Furthermore, the survey only looked at export manufacturers. This raises questions about the results’ relevance to other non-export groups of the current population with distinct characteristics.

The paper provides insights for both academia and practitioners on the importance of adopting GSCM practices for the business performance of apparel manufacturers in Sri Lanka. The paper includes implications for devising strategic solutions for organisational performance and sustainability by using GSCM practices in apparel manufacturers in Sri Lanka.

The research contributes to the body of knowledge in the GSCM field in general. This research also contributes to the limited literature on GSCM practices in Sri Lanka. To the best of the authors’ knowledge, this is the first attempt to explain how apparel manufacturers in Sri Lanka are organised.

We analyze historical business cycles as a sum of short‐ and medium‐term cycles defined for a particular class of unobserved component models. By associating the trend with the low frequencies of the pseudo‐spectrum in the frequency domain, manipulation of the spectral bandwidth will allow us to define subjective trends with specific properties. In this paper, we show how these properties can be exploited to anticipate business cycle turning points, not only historically but also in a true ex‐ante exercise. This procedure is applied to US pre‐Second World War GNP quarterly data taking as reference the NBER and Romer’s business cycle datings.

The purpose of this paper is to analyse the determinants of financial inclusion among women-owned informal enterprises in India.

The study is based on a primary survey of 321 informal enterprises. The data has been collected through a structured questionnaire. A chi-square test has been used to examine the significant association between the characteristics of informal enterprises and their owners and financial inclusion. A logistic regression model has been developed to analyse the determinants of financial inclusion among women-owned informal enterprises.

A significant and negative association has been found between business duration and entrepreneurs’ experiences with financial inclusion. In addition, the chi-square test shows a significant association between resource capability, use of ICT by enterprises and financial inclusion. Further, logistics regression shows that duration of business, entrepreneurial experience, resource capability in terms of machinery and equipment use, and ICT are significant determinants of financial inclusion among women-owned informal enterprises.

There are several practical implications for national policymakers and other stakeholders, such as banks and international bodies working on financial inclusion. It is suggested that while designing the policy for financial inclusion among woman-owned informal enterprises, it should ensure that experience and older woman entrepreneurs are included in financial inclusion schemes.

There has been very few research on financial inclusion in woman-owned businesses. However, no research has been conducted on the financial inclusion of women-owned informal businesses. This study fills a gap by investigating the factors that influence financial inclusion in women-owned informal businesses.

Small businesses are dominant in most economies and their owners likely experience high levels of distress. However, we have not fully explored how these common businesses meaningfully differ with respect to the stress process. Understanding the meaningful variations or subgroups (i.e., heterogeneity) in the small business population will advance occupational health psychology, both in research and practice (e.g., Schonfeld, 2017; Stephan, 2018). To systematize these efforts, the author identifies five commonly appearing “heterogeneity factors” from the literature as modifiers of stressors or the stress process among small business owners. These five heterogeneity factors include: owner centrality, individual differences, gender differences, business/ownership type, and time. After synthesizing the research corresponding to each of these five factors, the author offers specific suggestions for identifying and incorporating relevant heterogeneity factors in future investigations of small business owners’ stress. The author closes by discussing implications for advancing occupational health theories.

International business travelers (IBTs) face daily challenges pertaining to the frequency and duration of travel. Following the outbreak of coronavirus disease (COVID-19), the study aims to draw upon the job demands-resources (JD-R) model and the literature on work–life balance (WLB) to examine how this crisis have disrupted IBTs routines and the implications for their WLB.

Data were collected in April 2020 with an online survey answered by 141 IBTs from different locations. The first set of analyses examined the perceived change in job-demands (i.e. business travel and workload) including stress and work–life difficulties following the outbreak of COVID-19. The second set of analyses tested the hypotheses that the perceived change in workload and stress predict IBTs' work–life difficulties, which, in turn, affect their WLB.

The results show that the decline in job-demands (i.e. business travel and workload) after the outbreak of COVID-19 was not enough to reduce IBTs' stress and ameliorate their work–life difficulties and WLB. Only respondents who experienced a decrease in workload, including less relational difficulties, reported a superior WLB.

The study widens the scope and relevance of global mobility studies in crisis settings by timely reporting the changes in job-demands, stress and work–life difficulties among IBTs following the outbreak of COVID-19. Additionally, the research extends the use of the JD-R model in the international context by advancing our knowledge of the interplay between contextual demands and job-demands in affecting IBTs' stress, work–life difficulties and WLB.

The purpose of this paper is to investigate performance drivers of women-owned businesses that are funded primarily through microcredit. It draws on Storey’s theory of small business growth and family embeddedness axiom to examine the factors that drive the performance of businesses that are funded primarily through microcredit.

The paper uses a cross-sectional survey that covered 208 women business owners who had access to microcredit. The authors use a logistic regression analysis to model the relationship between independent variables and enterprise performance.

The paper demonstrates that microcredit plays a significant role in business performance. The credit amount has the most significant influence on the enterprise capital base, whereas the effect on profits is insignificant. Also, owners are more likely to report growth in profits if they possess skills in business management. In addition, younger business owners and necessity entrepreneurs are more likely to report success in their businesses. Other factors that have a significant effect on business performance are product cycle, loan use and family support.

Many women in Tanzania are entering business ownership and depend on microcredit as their primary source of capital for starting and growing their businesses. However, just a few businesses grow into small and medium-sized enterprises. For informed policy decisions, it is important that the factors influencing the performance of funded businesses are known and well understood. This understanding will help the government and development practitioners assist women in achieving business growth rates that could warrant their empowerment and poverty reduction prospects.