bluuebunny/crossref_metadata_2025_split huggingface dataset:
Farmers' choice between endogenous vs. exogenous e-commerce: alignment with resources and performance goals
Authors: Song Ying , Wu Wenyu , Miocevic Dario 
Published: June 2021

PurposeThe literature shows that e-commerce adoption brings many benefits to farmers and agricultural businesses. However, the literature offers very limited guidance on the most effective ways for them to utilize e-commerce platforms. In this study, we unfold how a farmer's choice between endogenous (their own) vs. exogenous (third-party) e-commerce platforms should be aligned with the external (support from agricultural cooperative) and internal (usage of quality labels) resources they can leverage and the performance goals they want to achieve (market expansion vs. price premium).Design/methodology/approachOur study draws on transaction cost economics (TCE) and resource-based theory (RBT) to test the conceptual model with data from a cross-sectional survey of 324 farmers from two provinces in PR China.FindingsOur findings show that external and internal resources shed additional light on the effectiveness of endogenous vis-à-vis exogenous e-commerce platforms. For farmers who rely on exogenous e-commerce, support from an agricultural cooperative appears to be critical in increasing their market expansion. On the other hand, farmers seeking to earn a price premium should focus on developing their own e-commerce platforms, while at the same time emphasizing the quality labels of their agricultural products.Practical implicationsFarmers should pay close attention to the value-added benefits provisioned through farmers' cooperatives, as well as the benefits of acquiring quality labels for their agricultural products. However, the decision to utilize these resources should be aligned with the chosen e-commerce platform (endogenous vs. exogenous) as well as with the performance goal the farmer wants to achieve.Originality/valueOur work goes beyond the traditional focus on transaction costs and efficiency of e-commerce channels and provides specific insights into when an endogenous or exogenous e-commerce model might provide benefits for farmers. On top of this, we argue and show that this decision should reside with the farmer's ability to leverage external and internal resources, envisioned through support from an agricultural cooperative and the quality labels of agricultural products.
Couples experiencing private life constraints to their career: understanding home-to-career interference from a couple's perspective
Authors: Op de Beeck Silke , Verbruggen Marijke , Abraham Elisabeth , De Cooman Rein 
Published: June 2021

PurposeThis paper examines home-to-career interference (HCI), i.e., the extent to which employees perceive that their private life has constrained their career decisions to date, from a couple perspective. Building on scarcity theory, the authors expect higher levels of HCI among couples that need more and have less resources and, within couples, among the partner who is most likely to take care of home demands. Therefore, the authors explore the role of children and social support as between-couple differences and gender, relative resources and work centrality as within-couple differences. Moreover, the authors examine how one partner's HCI is related to both partners' life satisfaction.Design/methodology/approachHypotheses are tested using hierarchical linear modeling and APIM-analysis with a sample of 197 heterosexual dual-earner couples (N = 394).FindingsAs hypothesized, employees in couples with more children and less social support reported more HCI. No support was found for within-couple differences in gender, educational level or work centrality. Next, HCI was negatively related to employees' own life satisfaction but not to their partner's life satisfaction.Originality/valueThe authors enrich the understanding of HCI by examining this phenomenon from a couple perspective and shed light on couple influences on career experiences.
How does paradoxical leadership promote bootlegging: a TPB-based multiple mediation model
Authors: Jia Jianfeng , Liu Zhi , Zheng Yuyan 
Published: June 2021

Purpose
This study aims to explore the antecedents of bootlegging from the perspective of paradoxical leadership. Based on the theory of planned behavior (TPB), it examines a multiple mediation model with harmonious innovation passion, role breadth self-efficacy and perceived error management culture as mediators, to interpret why paradoxical leadership influences employee bootlegging.

Design/methodology/approach
To test the theoretical model, data were collected from 218 full-time employees from enterprises in Chinese cities using a three-wave time-lagged design. Path-analysis and a bootstrapping approach in Mplus7 were used to examine the hypotheses of the theoretical model.

Findings
The results show that paradoxical leadership has a positive influence on bootlegging. In the multiple mediation model, the effect paths of harmonious innovation passion and role breadth self-efficacy are significant but there is an insignificant difference in their power, while the effect path of perceived error management culture is insignificant, although it has a significant simple mediating effect and sequential mediating effect.

Originality/value
This study is among the first to show the influence of paradoxical leadership on bootlegging, responding to the research call to use the paradoxical factors to capture the antecedents of innovative behaviors. Second, this study enriches the outcomes of paradoxical leadership, that of bootlegging. Third, this study provides a TPB-based mechanism of how paradoxical leadership promotes bootlegging by increasing employees’ harmonious innovation passion, role breadth self-efficacy and perceived error management culture. This provides a new theoretical perspective to explain the relationship between paradoxical leadership and employee bootlegging. It also responds to the call for exploration of the multiple pathways of leadership.
Networks as a moderating factor of the effect of institutional distance on export performance
Authors: Escolá Manuel Chabier , Serrano Raul , Ferrer Juan Ramón 
Published: June 2021

PurposeThe purpose of this paper is to investigate the moderating effect of business networks on the export performance of firms.Design/methodology/approachFollowing recent studies conducted from a network perspective, this moderating effect is studied for different types of business networks. To do this, a two-step Heckman-probit model is implemented for a sample of more than 2,000 manufacturing companies with information from the years 2006 to 2012. This study analyses the effect of nine variables of institutional distance between Spain and four geographical areas for collaborating and non-collaborating firms.FindingsThe main contribution of this paper is suggesting that vertical networks reduce the negative effects of institutional distance faced by the company in the early stages of its export process.Practical implicationsAccording to the results of this paper, managers should make a greater effort to expand their networks when they want to start exporting to further markets, as some networks reduces the negative effect of distance on export propensity. Moreover, the results also suggest that participating within a network may not be sufficient to increase the propensity to export of a firm, being important the kind of network in which companies participate.Originality/valueThe originality of this paper lies in providing empirical evidence that distinct kind of networks have different effect on the internationalisation process of companies, and that they affect not only directly as previous studies showed but also indirectly moderating the negative effect of the differences between markets.
Factors influencing entrepreneurial intentions the most for university students in Vietnam: educational support, personality traits or TPB components?
Authors: Maheshwari Greeni 
Published: June 2021

PurposeThe purpose of the paper is to investigate the influence of personality traits, individual factors and theory of planned behaviour (TPB) components (personal attitude, subjective norms and perceived behavioural control) on entrepreneurial intentions of university students. The study further aims to determine which factors have a higher influence on the entrepreneurial intentions of the students.Design/methodology/approachThe data was collected using an online survey from 164 students studying in universities in Vietnam. The study used confirmatory factor analysis and hierarchical regression to analyse the data.FindingsResults suggested that educational support has no impact on entrepreneurial intentions but individual factors such as self-efficacy, risk propensity and need for power and all the TPB components influenced entrepreneurial intentions. The TPB components had a higher influence on entrepreneurial intentions of students as compared to individual factors.Originality/valueOnly a few studies have been conducted to determine the strength of factors affecting entrepreneurial intensions of the students. This study demonstrates that TPB components have the highest influence on entrepreneurial intentions. Moreover, the study introduces an independent variable, need for power which is rarely used in any such studies and this adds a new component to the already existing research framework and in academic literature.
Sustainability potential awareness among built environment stakeholders: experience from Tanzania
Authors: Kongela Sophia Marcian 
Published: June 2021

PurposeSustainability in the built environment is rapidly gaining attention worldwide, although many developing countries have not accomplished much on the ground as many sustainability aspects still remain untreated. Despite their low greenhouse gas contributions to the globe, the high rate of construction activities that do not embrace sustainable practices in these countries pose challenges to the environment. Using the case of Tanzania, this study assesses the level of sustainability awareness among key stakeholders in the built environment.Design/methodology/approachThe study uses a mixed-method research approach where primary data was collected using a questionnaire and semi-structured interviews with key informants comprising engineers, architects, property managers, property owners, property users and academicians from institutions of higher learning.FindingsResults show that despite the potential for a sustainable built environment, there is a low level of awareness among key stakeholders. Whereas few architects, who were aware, admitted to have not incorporated sustainability aspects in their building design, other stakeholders did not have active roles in decision-making involving building construction projects. Compared to the rest, the awareness level of property users was the lowest. Lack of a specific policy or policy statement on sustainable building, high initial costs of sustainable building, few skilled professionals and lack of a broad choice of building materials are some of the factors accounting for the low level of sustainability adoption in the built environment.Originality/valueThe significance of this study lies within the objective of showing awareness levels of sustainability aspects among key built environment stakeholders and policymakers, which is important in devising strategies for promoting sustainable construction practices.
Monitoring dynamic breast measurements obtained from 4D body scanning
Authors: Pei Jie , Griffin Linsey , Ashdown Susan P. , Fan Jintu 
Published: June 2021

PurposeThe purpose of this study is to investigate the shape change of breast during movement to inform product development of bras and other female wearable products.Design/methodology/approachUsing the latest 4D body scanning technology, the authors monitored the change of seven non-circumferential breast measurements, including four linear measurements (widths, depth, etc.) and three angular measurements, across nine dynamic scans of a complete gait cycle during running. A series of statistical analysis were conducted to thoroughly investigate the measurement values in dynamic states compared with values extracted from static 3D scans.FindingsMajor findings are as follows: (1) For width-underbust, chest-depth, vertical-acromion and angle ABD, more than half of the dynamic frames presents a significant difference with the static frame. (2) Width-underbust and chest-depth measured in static can underestimate the actual values under motion. (3) vertical-acromion presents a W-shaped general trend for the nine dynamic frames with peaks observed at the keyframes (i.e. when a participant's right or left knee bends the most and rises to its highest level) and lows at the intermediate frames. (4) Angle ABD and angle BAD both present an M-shaped general trend, the exact opposite of a W-shaped trend.Originality/valueWhile 3D body scanning and motion capture systems have both contributed significantly to the study of breast, 4D body scanning incorporates the advantages of both technologies and captures the 3D surface of the body during movement at each instant moment. This is one of the first studies that adopt the new technology for apparel applications.
Big data analyses on key terms of wearable robots in social network services
Authors: Han Ru , Koo Sumin Helen 
Published: June 2021

PurposeThis research was to understand people's perceptions and trends in wearable robots and the research questions were as follows: (1) investigating key terms related to wearable robots that were frequently used by and exposed to people and (2) analyzing relationships among those key terms.Design/methodology/approachTextom, a big data collection and analysis software system, was used to collect data using the keyword – wearable robot.FindingsThe frequency-inverse document frequency, term frequency and central analyses were investigated, and the major key terms related to wearable robots and their connectivity were identified. After performing network analysis and convergence of iterated correlations analyses using UCINET and NetDraw programs, the major key term categories were identified.Originality/valueIt is important to understand how people think and perceive about wearable robots before developing wearable robots. The results of the research are expected to be helpful to better understand how people perceive and what key terms are mainly discussed by people in both countries and ultimately help when developing wearable robots with better market targeting approach methods.
Tuning value chains for better signals in the post-COVID era: vaccine supply chain concerns
Authors: Finkenstadt Daniel J. , Handfield Robert B. 
Published: June 2021

PurposeThe authors identify the critical bottlenecks that exist in the vaccine supply chain that are preventing a robust coronavirus disease (COVID) response. The authors posit that improved supply chain signals can result in improved handling and distribution of vaccines in a post-COVID world and identify recommendations for redesign of the vaccine supply chain as well as future research questions for scholars.Design/methodology/approachThe supply chain operating reference (SCOR) model is used as a framework to identify each of the major gaps that exist in the supply chain for the COVID vaccine. The critical bottlenecks and delays that exist within this supply chain are identified through this framework and validated through the ongoing research and interviews in the field.FindingsWhilst the vaccine supply chain for influenza is perfectly sized for development and distribution of this cyclical virus, the emergence of a new virus created a pandemic, which has exposed a number of critical shortages. The authors find that the design of the COVID vaccine supply chain suffers from a flawed structure. To date, less than 3% of the United States and global population has been fully vaccinated. The authors advocate a “back to front design”, beginning with demand planning for actual vaccinations and working backwards toward supply planning and distribution planning. These lessons may be helpful for capacity planning and supply chain strategy for future vaccinations as variants of the COVID vaccine emerge.Originality/valueThe authors provide a unique approach for viewing the current shortages that exist in the vaccine supply chain and offer suggestions for new variants of this supply chain for the future.
Sub-national union coverage and the youth's labor market outcomes: evidence from a national survey in Vietnam
Authors: Bach Thang Ngoc , Ly Dai Hung , Nguyen Viet Hung , Le Thanh 
Published: June 2021

PurposeThis paper examines the effects of sub-national union coverage on the youth's labor market outcomes.Design/methodology/approachIn the context of the private business sector in Vietnam, this study link individual labor market data with union coverage at provincial level in the period 2013–2016 to investigate the effects of sub-national union coverage on the youth's labor market outcomes. Contingent on the outcome variable, we use the OLS and probit model that control for diverse individual characteristics, year- and industry-fixed effects, and particularly control for selection bias in the labor market.FindingsThe empirical results show that the union coverage is positively associated with a wide range of the youth's labor market outcomes, including employment status, wage rate, work hour, and job formality. Also, the coverage is complementary to individual labor contract in determining the youth's wage rate.Practical implicationOur empirical results indicate positive associations between union coverage and the youth's multi-dimensional labor market outcomes, which contribute to this young age cohort's smooth school-to-work transition, provided that the role of trade union is challenged both in developing and developed countries.Originality/valueThis study provides an in-depth study on the interplay between trade union and the youth's labor market outcomes that contributes to the literature of labor market institutions and youth employment policies in a dynamic transitional economy of Vietnam.
Assessing the impact of Covid-19 pandemic in Turkey with a novel economic uncertainty index
Authors: Mugaloglu Erhan , Polat Ali Yavuz , Tekin Hasan , Kılıç Edanur 
Published: June 2021

PurposeThis study aims to measure economic uncertainty in Turkey by a novel economic uncertainty index (EUI) employing principal component analysis (PCA). We assess the impact of Covid-19 pandemic in Turkey with our constructed uncertainty index.Design/methodology/approachIn order to obtain the EUI, this study employs a dimension reduction method of PCA using 14 macroeconomic indicators that spans from January 2011 to July 2020. The first principal component is picked as a proxy for the economic uncertainty in Turkey which explains 52% of total variation in entire sample. In the second part of our analysis, with our constructed EUI we conduct a structural vector autoregressions (SVAR) analysis simulating the Covid-19-induced uncertainty shock to the real economy.FindingsOur EUI sensitively detects important economic/political events in Turkey as well as Covid-19-induced uncertainty rising to extremely high levels during the outbreak. Our SVAR results imply a significant decline in economic activity and in the sub-indices as well. Namely, industrial production drops immediately by 8.2% and cumulative loss over 8 months will be 15% on average. The losses in the capital and intermediate goods are estimated to be 18 and 25% respectively. Forecast error variance decomposition results imply that uncertainty shocks preserve its explanatory power in the long run, and intermediate goods production is more vulnerable to uncertainty shocks than overall industrial production and capital goods production.Practical implicationsThe results indicate that monetary and fiscal policy should aim to decrease uncertainty during Covid-19. Moreover, since investment expenditures are affected severely during the outbreak, policymakers should impose investment subsidies.Originality/valueThis is the first study constructing a novel EUI which sensitively captures the critical economic/political events in Turkey. Moreover, we assess the impact of Covid-19-driven uncertainty on Turkish Economy with a SVAR model.
Income and healthcare financing system in the United States: an asymmetric analysis
Authors: Barati Mehdi , Fariditavana Hadiseh 
Published: June 2021

PurposeThe purpose of this study is to first assess how the US healthcare financing system is influenced by income variation. Then, it examines whether or not the impact of income variation is asymmetric.Design/methodology/approachFor the analyses of this paper, the autoregressive distributed lag (ARDL) model is implemented to a data set covering the period from 1960 to 2018.FindingsThe results provide evidence that major funding sources of aggregate healthcare expenditure (HCE) respond differently to changes in income. The results also imply that the effect of income is not always symmetric.Originality/valueMany studies have attempted to identify the relationship between income and HCE. A common feature of past studies is that they have only focused on aggregate HCE, while one might be interested in knowing how major funders of aggregate HCE would be affected by changes in income. Another common feature of past studies is that they have assumed that the relationship between income and HCE is symmetric.
Perceptions of white-collar crime registries
Authors: Jasperson Jill O. , Dearden Thomas E. , Miller Ronald Mellado 
Published: June 2021

Purpose
In 2015, Utah enacted the first white-collar crime (WCC) registry. Similar to sex offender registries, this registry provides demographic information to the public. Utah’s law includes convicted offenders of second-degree felonies for a variety of non-violent, financial crimes, including securities fraud, insurance fraud and theft by deception (H.B. 378, 2015). The purpose of this paper is to examine the perceptions of this new registry.

Design/methodology/approach
A survey was built in 2016 to better understand the perceptions of said WCC registry. This paper considers the relationships between demographic variables, fear of crime and support for Utah’s WCC registry using data from over 968 university students in Utah.

Findings
The authors find strong support for the registry, with 76% of the sample supporting its implementation. Only one variable, social political affiliation, was significant. Those who defined themselves as social strong liberals were more likely to select somewhat support rather than definitely support the registry.

Originality/value
This is the first paper that we know of to examine support for a WCC registry.