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Using recent US regional data associated with food system operations, this study aims at building optimization and econometric models to incorporate varying influential factors on food hub location decisions and generate effective facility location solutions.

Mathematical optimization and econometric models have been commonly used to identify hub location decisions, and each is associated with specific strengths to handle uncertainty. This paper develops an optimization model and a hurdle model of the US fresh produce sector to compare the hub location solutions between these two modeling approaches.

Econometric modeling and mathematical optimization are complementary approaches. While there is a divergence between the results of the optimization model and the econometric model, the optimization solution is largely confirmed by the econometric solution. A combination of the results of the two models might lead to improved decision-making.

This study suggests a future direction in which model development can move forward, for example, to explore and expose how to make the existing modeling techniques easier to use and more accessible to decision-makers.

The models and results provide information that is currently limited and is useful to help inform sustainable decisions of various stakeholders interested in the development of regional food systems, regional infrastructure investment and operational strategies for food hubs.

This study sheds light on how the application of complementary modeling approaches improves the effectiveness of facility location solutions. This study offers new perspectives on elaborating key features to encompass facility location issues by applying interdisciplinary approaches.

The purpose of this paper is to identify the factors associated with farm financial success for those farms known to produce for local supply chains. The analysis considers alternative measures of farm financial performance and considers the role of the local foods supply chain in the choice to market locally.

The paper uses a two-stage Heckman approach which addresses the possibility of sample selection bias. In the first stage, the choice model to engage in direct marketing is estimated. In the second stage, the authors estimate a model of the financial performance of those in the sample that direct marketed which includes an IMR term calculated from the parameters of the first stage equation. The analysis uses national farm-level data from the Agricultural and Resource Management Survey of the US Department of Agriculture and combines data from 2009 to 2012 to overcome the constraint of small samples.

Indicators of the development of a local foods supply were positively related to the choice to engage in direct marketing. Factors affecting farm financial performance varied significantly between a short-term and a long-term measure. The results emphasize the importance of considering multiple outcome measures, developing local supply chains and provide implications about beginning farms.

If a local foods system is going to thrive, the farms that market the agricultural products in the local food system must attain a certain level of profitability. The value of the analysis is an improved understanding of the financial performance of farms producing for a small, but growing segment of the food supply chain.

The purpose of this paper is to focus on the impact of economic freedom on entrepreneurial activity in the service sector. Specifically, the paper examines how economic freedom at the state level affects employment among North American Industry Classification System (NAICS) six-digit service industries.

The paper uses a fixed effects model to predict the effect of economic freedom on employment in each of the NAICS six-digit service industries. The paper uses the significance of the economic freedom coefficients to determine which industries grow and which shrink with increases in economic freedom.

The empirical findings reveal that economic freedom improves job growth for some, but not for all industries. Employment tends to grow in the six-digit industries that are categorized as finance and insurance, administrative and waste services, and professional and technical services. Employment in many of the health care and social assistance industries as well as accommodation and food services industries tends to fall with increases in economic freedom.

These results give a more detailed assessment of the influence of economic freedom on employment growth based on micro-level data. The results can be used by policy makers to better understand how changes in economic freedom influence the portfolio of industries that develop in their states.

The purpose of this study is to analyze the relationship between dynamic service innovation capabilities (DSICs) and startup growth in an emerging country.

This paper used a theoretical DSIC model to process data on 137 Brazilian startups, using a stepwise regression.

Service startup growth is related to the capability of enterprises to understand market signals, learn from customers and design a scalable, repetitive and profitable business model.

Despite the innovative nature of startups, this paper found that technological and networking capacities are not a determinant of growth.

Managers should commit themselves to improve their competence in terms of understanding market signals, even when they already have a consolidated business model, products and service offerings. The findings also function as a warning about the dangers of an excessive focus on technological capabilities.

Innovative startups, which achieve high growth create a disproportionate number of new jobs. Hence, by indicating the dynamic capabilities that are more conducive to firm growth, this paper contributes to society and the economy at large.

The findings challenge the myth of technological capacity and networking skills as the main sources of startup growth. This paper shows that founders and managers of service startups who want to achieve rapid growth should concentrate more effort on other skills. Marketing competence and building scalable business models – abilities that are common to successful traditional firms – are more relevant for short-term growth than technological innovation.

The purpose of this paper is to address the research question: How does the social entrepreneur’s compassion inform how they engage with their environment to mobilize resources for social entrepreneurial action?

The study features a comparative case study analysis of seven high-profile social entrepreneurs within Cape Town, South Africa. Data via in-depth interviews, site visits and archival information and follow-up conversations were collected and then analyzed via thematic coding of qualitative analysis.

The findings suggest that compassion is an antecedent for the social entrepreneurial boundary spanning shaped by their orientation toward concern for others’ well-being. Propositions presented offer the groundwork for an emergent theoretical framework of social entrepreneurial boundary spanning.

The study builds upon the emerging compassion research within social entrepreneurship, extending the conceptualization of compassion to be shapers of the social structure – not just the individual or the organization – in an emerging market context.

The purpose of this article is to recognize emotional intelligence (EI) as a specific emotional competency possessed by entrepreneurs that facilitates their coping with stressors that arise in their day-to-day work. Highlighting the problem-focused and emotion-focused coping strategies employed by entrepreneurs, the paper establishes that EI in entrepreneurs enables the onset of acceptance of the existence of a stressful situation and that of optimism that a stressful situation can be solved.

The paper reviews literature on the topics related to links between EI, entrepreneurial behaviors and entrepreneurial coping. Subsequently, acceptance-avoidance motivation theory is used to posit that entrepreneurs' EI serves as an antecedent that (1) guides the selection of their coping strategies through onset of optimism and acceptance of stressful situation, (2) assists in perceiving those situations as either controllable or uncontrollable and (3) shapes the actual process through which entrepreneurs cope.

The proposed conceptual model asserts that entrepreneurs' EI as reflected in their abilities to perceive, use, understand and regulate emotions is key to their coping. EI in entrepreneurs assists them in being optimistic about solving a stressful situation and accepting of such situations as well. Thereafter, selection of a problem-focused or emotion-focused coping strategy or both ensues.

The current work offers a conceptual model that highlights the role of entrepreneurs' EI in coping, integrates both the cognitive and affective components of coping and suggests a variety of avenues for future research. This model extends models of coping that categorize coping types to specify the process thought to be involved. Understanding the role of emotional intelligence in coping with stress by entrepreneurs has theoretical and practical implications which are discussed as well.

The purpose of this study is to empirically investigate the impact of incumbents’ defensive strategies, specifically price-cut and capacity expansion, on new entrants’ (NEs) exit decisions and examine the moderating role of incumbents’ relational market-based assets (RMBAs).

Drawing upon real options theory, an empirical study using logistic regression is conducted on a rich, multi-market data set of NE exits between 1997 and 2019 in the U.S. airline industry.

Contrary to intuitive expectation, the results show that cutting prices in response to entry reduces NEs’ likelihood of market exit. However, when incumbents possess strong RMBAs, using a price cut proves to be effective in pushing NEs out of a market. Moreover, an NEs’ exit likelihood is higher when incumbents expand capacities in response to entry.

In this study, market exit is defined as a complete withdrawal from the market and operationalized as a binary variable. Future research could examine different degrees of downscaling by NEs while remaining in the market.

This research demonstrates the opposing effects of price-cut and capacity expansion and the crucial role of RMBAs and advises managers to be cautious and consider trade-offs when implementing their defensive strategies to push NEs out of their markets.

This study contributes to the literature by examining the impact of incumbents’ defensive strategies, price-cut and capacity expansion, side by side and exploring the moderating role of RMBAs. Extant research has focused on antecedents of defensive strategies, whereas the consequences are the focus of this research.

The purpose of this study is to empirically examine the relationship between executive compensation linked to corporate social responsibility (CSR) and firm risk. It also explores the moderating role of CSR-linked compensation on the relationship between risk-taking incentives provided in executive compensation and firm risk.

This study uses Ordinary Least Squares (OLS) and firm-fixed effects regressions to estimate the association between CSR-linked compensation and firm risk. Furthermore, it employs instrumental variable, propensity score matching and first-order difference approaches to address concerns about endogeneity and sample selection.

Benchmark results show that CSR-linked compensation reduces both total and idiosyncratic measures of risk. Further results indicate that CSR-linked compensation reduces firm risk only when risk is above the optimal level and has no significant effect when risk is below the optimal level. Additionally, tests show that CSR-linked compensation also mitigates the positive effect of Vega of executive compensation on risk and this mitigation effect is significant only when risk is above the optimal level.

The empirical results of this study show that boards can use CSR-linked compensation not only to induce higher social performance but also as a risk management tool to manage risk, especially when risk is above value increasing optimal levels. Furthermore, boards can use CSR-linked compensation to mitigate excessive risk-taking induced by option compensation.

This study contributes to the emerging literature on CSR-linked compensation and firm risk. To our knowledge, this is the first study that documents the direct risk-reducing effect of CSR-linked compensation and its mitigating effect on the relation between Vega of executive compensation and firm risk.

The purpose of this study is to explore how social entrepreneurship empowers women and how it influences the existing gender based intersectionalities in the society. This paper is based on a single case study of a social entrepreneurial startup called “Pahal,” which used social entrepreneurial strategies to encourage women to engage in economic activities, which helped them in gaining economic empowerment.

The researcher alongside the social entrepreneur visited the field for eight months from August 2016 to March 2017 and interviewed multiple stakeholder-employees (as partners) of the social enterprise. This study was done by conducting interviews with all the stakeholders in all the three social entrepreneurial phases, i.e. pre-Pahal, during-Pahal and after-Pahal. The interviews and observations were recorded and analysed using social entrepreneurial lens and intersectionality.

“Pahal Initiative” – is a social entrepreneurial intervention that helped the women in the household to start a food delivery business with the support of the social entrepreneur. Consequently, women gained confidence and self-respect. The attitude of men in the household changed when the women in the household generated additional income. It impacted their position and status which led to an increase in their participation in decision-making in the household and economic independence. The women become more interactive and expressive in a predominantly patriarchal household. Within one year, the entrepreneur had to stop the Pahal initiative. Then, this study observed and recorded that this event curtailed the economic activities undertaken by the women in their village and their social status reverted to what it was before the initiative.

First, social entrepreneurial strategies lead to economic value creation and lead overall socio-economic gains. Second, social entrepreneurial strategies address the problems of patriarchy and gender discrimination. Third, economic activities undertaken by women changed the social perceptions of the family members towards women in the families.

From this case study, one observes that social entrepreneurship has a strong potential to bring about social and economic change. This study helps policymakers and non-governmental organisations to solve poverty and gender discrimination related problems using social entrepreneurial strategies.

This study uses social entrepreneurial intervention to understand and bring about change in the socio-economic status of women in rural India. This study uses an intersectionality lens to make sense of the data, reality and reflects on how intersectional positions are altered when women are economically empowered either through training or through a proper organisation or both.

The potential implications of the three-dimensional printing (3DP) technology are growing enormously in the various health-care sectors, including surgical planning, manufacturing of patient-specific implants and developing anatomical models. Although a wide range of thermoplastic polymers are available as 3DP feedstock, yet obtaining biocompatible and structurally integrated biomedical devices is still challenging owing to various technical issues.

Polyether ether ketone (PEEK) is an organic and biocompatible compound material that is recently being used to fabricate complex design geometries and patient-specific implants through 3DP. However, the thermal and rheological features of PEEK make it difficult to process through the 3DP technologies, for instance, fused filament fabrication. The present review paper presents a state-of-the-art literature review of the 3DP of PEEK for potential biomedical applications. In particular, a special emphasis has been given on the existing technical hurdles and possible technological and processing solutions for improving the printability of PEEK.

The reviewed literature highlighted that there exist numerous scientific and technical means which can be adopted for improving the quality features of the 3D-printed PEEK-based biomedical structures. The discussed technological innovations will help the 3DP system to enhance the layer adhesion strength, structural stability, as well as enable the printing of high-performance thermoplastics.

The content of the present manuscript will motivate young scholars and senior scientists to work in exploring high-performance thermoplastics for 3DP applications.