Search results

The purpose of this study is to examine the effects of government regulation on economic value creation through the lens of Resource-Advantage Theory. This study intends to shed more light on how industry-government relationships affect the entrepreneurial activities that drive economic growth.

The authors use a test of joint significance (MacKinnon et al., 2002) in a generalized linear model to examine how competition mediates the relationship between government regulation and jobs and wages. The research context is the US brewing industry for the year 2012.

High excise taxes and certain sales restrictions negatively impact competition, which ultimately affects economic value creation. State regulators may effectively balance the need to bring in tax revenues on the one hand and promote healthy competition on the other by turning to small business tax credits and exemptions. The results of a post hoc analysis indicate excise taxes have the most pronounced effect at the manufacturing level of the supply chain as opposed to the wholesale and retail levels.

The predictive validity of this study suggests that Resource-Advantage Theory is a useful and appropriate framework for understanding how industry–government relations impact the competitive processes that lead to economic value creation. From a practical standpoint, the study also has several implications for public policy, which are detailed in the latter stages of the paper.

This chapter acknowledges the difficulties in the empirical study of social ventures – broadly defined as market-driven ventures that produce social change – that arise from the vast differences among social venture firms in terms of missions, goals, identities, strategies, and structures. In an effort to improve research in this area and advance the field of social entrepreneurship, the authors advocate approaching social ventures from a configurational perspective.

This chapter begins with a discussion of what social ventures are and why organizational configurations – sets of firms that are similar across key characteristics – may be an appropriate perspective to utilize. Then, two methods – cluster analysis and set-theoretic analysis – are discussed in detail as ways to approach the study of social venture configurations. Details include descriptions of the techniques, instructions for use, examples, and limitations for each.

This chapter identifies research opportunities using configurations approaches in social venture research. Substantial possibilities for multilevel and temporally based research are discussed in depth.

A configurational approach can address the incongruence and non-findings in current social venture research and offers new opportunities for future research.

Large/stochastic spatiotemporal demand data sets can prove intractable for location optimization problems, motivating the need for aggregation. However, demand aggregation induces errors. Significant theoretical research has been performed related to the modifiable areal unit problem and the zone definition problem. Minimal research has been accomplished related to the specific issues inherent to spatiotemporal demand data, such as search and rescue (SAR) data. This study provides a quantitative comparison of various aggregation methodologies and their relation to distance and volume based aggregation errors.

This paper introduces and applies a framework for comparing both deterministic and stochastic aggregation methods using distance- and volume-based aggregation error metrics. This paper additionally applies weighted versions of these metrics to account for the reality that demand events are nonhomogeneous. These metrics are applied to a large, highly variable, spatiotemporal demand data set of SAR events in the Pacific Ocean. Comparisons using these metrics are conducted between six quadrat aggregations of varying scales and two zonal distribution models using hierarchical clustering.

As quadrat fidelity increases the distance-based aggregation error decreases, while the two deliberate zonal approaches further reduce this error while using fewer zones. However, the higher fidelity aggregations detrimentally affect volume error. Additionally, by splitting the SAR data set into training and test sets this paper shows the stochastic zonal distribution aggregation method is effective at simulating actual future demands.

This study indicates no singular best aggregation method exists, by quantifying trade-offs in aggregation-induced errors practitioners can utilize the method that minimizes errors most relevant to their study. Study also quantifies the ability of a stochastic zonal distribution method to effectively simulate future demand data.

The influence of security practices is increasingly common in the supply chain management and logistics literature. However, an under-researched area exists within the logistics service provider (LSP) selection process. The purpose of this paper is to introduce a security capability into the LSP selection process. Specifically, this research seeks to understand partner willingness to compensate and collaborate with service providers that possess a security capability.

Adaptive choice modeling is adopted to assess the influence of a security capability in the LSP selection process. This study represents the first use of this method in supply chain management and logistics research. Cluster analysis is also performed to uncover specific buyer segments along with traditional regression-based significance testing and counting analysis.

The findings indicate that security can have an important influence on the LSP selection process. In particular, the findings note a willingness to pay for a security capability in LSP selection. Applying segmentation techniques to the findings, three LSP buying segments are determined, each placing different importance and value on LSP capabilities.

This research notes an ongoing provider deficiency in security offerings. Partner firms sometimes maintain a cost focus, but others show a willingness to pay higher prices for access to partners with a security capability. Key practitioner findings include the need to include security with other traditional selection variables. The study walks the researcher and manager through the development of segments based on LSP capabilities.

This manuscript investigates logistic service provider selection. The authors detail an advanced form of conjoint analysis, adaptive conjoint modeling, for first time consideration. Additionally, this is the first study to integrate security into the LSP selection process. This is also the first study to identify a willingness to pay for a security capability.

Advances in information technology have enabled new ways of organizing work and led to a proliferation of what is known as the “gig economy.” While much attention has been paid to how these new organizational designs have upended traditional employee–employer relationships, there has been little consideration of how these changes have impacted the social norms and expectations that govern the relationship between workers and consumers. The purpose of this paper is to consider the social norm of tipping and propose that gig work is associated with a breakdown of tipping norms in part because of workers’ increased autonomy in terms of deciding when and whether to work.

The authors present four studies to support their hypothesis: a survey vignette experiment with workers on Amazon Mechanical Turk (Study 1), an analysis of New York City taxi data (Study 2), a field experiment with restaurant employee food delivery drivers (Study 3) and a field experiment with gig-worker food delivery drivers (Study 4).

In Studies 1 and 2, they find that consumers are less likely to tip when workers have autonomy in deciding whether to complete a task. In Study 3, they find that restaurant delivery employees notice upfront tips (or lack thereof) and alter their service as a result. In contrast, in Study 4, they find that gig-workers who agree to complete a delivery for a fixed amount that includes an upfront tip (or lack thereof) are not responsive to tips. Together, these findings suggest that the gig economy has not only transformed employee-employer relationships, but has also altered the norms and expectations of consumers and workers.

The authors present four different studies that consider the social norm of tipping in the context of gig work. Together, they highlight that perceptions of worker autonomy have driven the decline in tipping norms associated with gig work.

Over the next 25 years, STEM (science, technology, engineering, and mathematics) occupations will increase at rates higher than those in any other professional field. The inevitable rise in career opportunities, and the multiplicative impact across technology in a wide range of fields, will continue to create gaps that can and should be filled by professionals with diverse skill sets. It is essential to increase equitable access to future available jobs for historically underserved populations, such as women with autism, as they possess skills and perspectives that offer different approaches to job tasks in STEM fields. Considering the intersectional barriers that women face in the workforce, we have written this chapter to bring much needed attention to the interventions that employers can and should enact to support the women of Generation A. We offer the FACES framework (Facilitation, Awareness, Connection, Exposure, Support) as a guidepost for companies and organizations that endeavor to support women with autism in professional preparation and on-the-job development. We corroborate our framework recommendations with labor market data that offers insight into future projections regarding STEM fields and the associated opportunities and careers.

This study investigates the impact of socioemotional wealth (SEW) on family firm entrepreneurial orientation (EO) in Saudi Arabia, and the moderating effect of generational involvement on this relationship. Our data set comprises 241 privately, wholly owned family firms. We examine EO as a strategic orientation expressed in terms of both firm behavior and how managers approach risk-taking attitudinally. Our study finds that SEW is positively related to firms’ entrepreneurial behavior, but not managerial attitudes toward risk-taking. However, the positive effects of SEW on firms’ entrepreneurial behavior diminish as the number of generations involved in the family business increases. The broader implications for enabling entrepreneurship within Arab transforming economies adhering to strong cultural tribalistic norms are discussed.