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1 – 10 of 29Christopher R. Reutzel, Carrie A. Belsito and Jamie D. Collins
The purpose of this paper is to add to the small but growing body of research examining the influence of founder gender on new venture access to venture development programs.
Abstract
Purpose
The purpose of this paper is to add to the small but growing body of research examining the influence of founder gender on new venture access to venture development programs.
Design/methodology/approach
Hypotheses were tested utilizing a sample of 482 nascent technology ventures which applied for admittance into a venture development organization headquartered in the southern region of the United States from March 2004 through February 2016.
Findings
Findings suggest that female-founded applicant ventures experience a higher likelihood of acceptance into venture development programs than male-founded applicant ventures. Results further suggest that social attention to gender equality reduces this effect for female-founded applicant ventures. Findings extend the understanding of the gendered nature of high-technology venturing and venture development organizations.
Research limitations/implications
The findings of this study may not generalize to new ventures operating in other contexts (e.g., non-U.S., low-tech, and other venture development programs). Additionally, this study's design and data limitations do not allow for the establishment of causality or address founder motivations to apply for acceptance into venture development programs.
Originality/value
This study adds to empirical findings regarding the influence of founder gender on new venture acceptance into venture development programs by developing and testing competing hypotheses. This study also extends extant research by examining the moderating effect of social attention to gender equality on the hypothesized relationships between founder gender and acceptance into venture development programs.
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Christopher Amaral, Ceren Kolsarici and Mikhail Nediak
The purpose of this study is to understand the profit implications of analytics-driven centralized discriminatory pricing at the headquarter level compared with sales force price…
Abstract
Purpose
The purpose of this study is to understand the profit implications of analytics-driven centralized discriminatory pricing at the headquarter level compared with sales force price delegation in the purchase of an aftermarket good through an indirect retail channel with symmetric information.
Design/methodology/approach
Using individual-level loan application and approval data from a North American financial institution and segment-level customer risk as the price discrimination criterion for the firm, the authors develop a three-stage model that accounts for the salesperson’s price decision within the limits of the latitude provided by the firm; the firm’s decision to approve or not approve a sales application; and the customer’s decision to accept or reject a sales offer conditional on the firm’s approval. Next, the authors compare the profitability of this sales force price delegation model to that of a segment-level centralized pricing model where agent incentives and consumer prices are simultaneously optimized using a quasi-Newton nonlinear optimization algorithm (i.e. Broyden–Fletcher–Goldfarb–Shanno algorithm).
Findings
The results suggest that implementation of analytics-driven centralized discriminatory pricing and optimal sales force incentives leads to double-digit lifts in firm profits. Moreover, the authors find that the high-risk customer segment is less price-sensitive and firms, upon leveraging this segment’s willingness to pay, not only improve their bottom-line but also allow these marginalized customers with traditionally low approval rates access to loans. This points out the important customer welfare implications of the findings.
Originality/value
Substantively, to the best of the authors’ knowledge, this paper is the first to empirically investigate the profitability of analytics-driven segment-level (i.e. discriminatory) centralized pricing compared with sales force price delegation in indirect retail channels (i.e. where agents are external to the firm and have access to competitor products), taking into account the decisions of the three key stakeholders of the process, namely, the consumer, the salesperson and the firm and simultaneously optimizing sales commission and centralized consumer price.
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AbdulLateef Olanrewaju, Jack Son Khor and Christopher Nigel Preece
Statistics show that the construction sector has the second-highest number of accident cases in Malaysia. A total of 100, 000 construction workers suffer from work-related bad…
Abstract
Purpose
Statistics show that the construction sector has the second-highest number of accident cases in Malaysia. A total of 100, 000 construction workers suffer from work-related bad health each year. Scaffolding accidents are the second cause of accidents on construction sites. Therefore, this present research provided answers to the following questions: (1) what are the causes of scaffolding accidents and (2) what are the possible measures to reduce scaffolding accidents?
Design/methodology/approach
The research developed a questionnaire instrument that included 24 causes of scaffolding accidents and 21 remedial actions. The research was based on a cross-sectional survey questionnaire administered to 129 members of construction organizations.
Findings
Data revealed that scaffolding-related cases caused a total of 70% of the deaths/injuries on sites. Furthermore, scaffolding accidents were mainly caused by a lack of guard rails on scaffoldings, poor inspections, improper assembly, a poor safety culture, poor attitudes towards safety, poor footing of scaffoldings and unsecured planking. To reduce scaffolding accidents, there must be a lifeline on scaffolding, proper guardrails and proper assembling of scaffoldings, and preventing access to incomplete or defective scaffoldings. The 24 causes are structured into six factors through factor analysis and the 21 remedial actions into six factors.
Originality/value
This research serves as the first attempt to conduct broad research on the causes and remedial actions concerning scaffolding accidents on construction sites in Malaysia. Theoretically, the research has provided fresh insights into the impact of scaffolding accidents.
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This paper tests whether Bayesian A/B testing yields better decisions that traditional Neyman-Pearson hypothesis testing. It proposes a model and tests it using a large, multiyear…
Abstract
Purpose
This paper tests whether Bayesian A/B testing yields better decisions that traditional Neyman-Pearson hypothesis testing. It proposes a model and tests it using a large, multiyear Google Analytics (GA) dataset.
Design/methodology/approach
This paper is an empirical study. Competing A/B testing models were used to analyze a large, multiyear dataset of GA dataset for a firm that relies entirely on their website and online transactions for customer engagement and sales.
Findings
Bayesian A/B tests of the data not only yielded a clear delineation of the timing and impact of the intellectual property fraud, but calculated the loss of sales dollars, traffic and time on the firm’s website, with precise confidence limits. Frequentist A/B testing identified fraud in bounce rate at 5% significance, and bounces at 10% significance, but was unable to ascertain fraud at the standard significance cutoffs for scientific studies.
Research limitations/implications
None within the scope of the research plan.
Practical implications
Bayesian A/B tests of the data not only yielded a clear delineation of the timing and impact of the IP fraud, but calculated the loss of sales dollars, traffic and time on the firm’s website, with precise confidence limits.
Social implications
Bayesian A/B testing can derive economically meaningful statistics, whereas frequentist A/B testing only provide p-value’s whose meaning may be hard to grasp, and where misuse is widespread and has been a major topic in metascience. While misuse of p-values in scholarly articles may simply be grist for academic debate, the uncertainty surrounding the meaning of p-values in business analytics actually can cost firms money.
Originality/value
There is very little empirical research in e-commerce that uses Bayesian A/B testing. Almost all corporate testing is done via frequentist Neyman-Pearson methods.
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Mark Ovesny and D. Christopher Taylor
In this paper, the authors argue that the blueprint that was organically developed over the course of approximately three centuries, from The Grand Tour to this day, is likely to…
Abstract
Purpose
In this paper, the authors argue that the blueprint that was organically developed over the course of approximately three centuries, from The Grand Tour to this day, is likely to see something close to a repeat in the development of that final frontier.
Design/methodology/approach
The study used the methodology of reviewing the literature and model comparison.
Findings
Opportunities will expand and change along the same trends that lead The Grand Tour to evolve into mass tourism, because as in the past people's perceptions about what is possible and reasonable will change the more common such once fictional ideas become reality.
Originality/value
Nothing is in the current tourism literature, on this topic. This is new and unique.
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Christopher Towers and Richard Howarth
With the context of changing global and local populations and, for example, their composition and distribution, this paper offers insight to food shopping in later life with a…
Abstract
With the context of changing global and local populations and, for example, their composition and distribution, this paper offers insight to food shopping in later life with a focus on Nottingham and Nottinghamshire in the East Midlands. The work is relevant and important due to the specific population makeup of this area and the challenges in achieving the UN Sustainable Development Goals (SDGs) as a result of population changes/challenges.
The work takes an interdisciplinary view and draws on literature from both social policy and social care and business and marketing. Using this work as a grounding, and insights to primary research from a wider study in this area, the paper offers discussion and comment on:
the importance of food and food shopping in later life;
issues of, and concerns for, health, well-being, identity and community maintenance and resilience (as a direct result of the challenge to SDG achievement); and
the role(s) and responsibility of business from a core business and wider business/corporate responsibility perspective as a reflection of the above and findings of the work.
the importance of food and food shopping in later life;
issues of, and concerns for, health, well-being, identity and community maintenance and resilience (as a direct result of the challenge to SDG achievement); and
the role(s) and responsibility of business from a core business and wider business/corporate responsibility perspective as a reflection of the above and findings of the work.
Using primary research undertaken by the authors, the paper supports findings from existing work from across social policy and care and business and management – related to the practicalities, challenges and the role of and approaches to food shopping in later life. It specifically offers insight to the efforts made by older food shoppers to maintain their independence and support their choices in a context of interdependence (e.g. within a family, community and environment). The importance social aspects of food shopping (as a counter to isolation and loneliness for example) are also identified and how, for example, the actions of business(es) may undermine the efforts (and resilience) of individuals and communities. “Better” understanding of food shoppers by business and other stakeholders is promoted.
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Leo Juri Kaufmann and Anja Danner-Schröder
We conduct a literature review on forms of organizing that address grand challenges, which are operationalized as the Sustainable Development Goals of the United Nations, as this…
Abstract
We conduct a literature review on forms of organizing that address grand challenges, which are operationalized as the Sustainable Development Goals of the United Nations, as this framework is universal and widely adopted. By analyzing the articles that match our criteria, we identify six differentiable organizational forms: movements, temporary organizations, partnerships, established organizations, multi-stakeholder networks, and supranational organizations. These six forms are differentiated based on the two following categories: organizing segment and communicational technological approach. Our analysis shows that tackling a grand challenge often starts with collectives as a protest culture without any expected goal, besides sending an impulse to others. This impulse is received by criticized institutionalized organizations that have the capacity and resources to address the problem properly. However, new challenges arise as these organizations inadequately resolve these problems, thereby leading to conflict-laden areas of tension, wherein emergent organizations complement institutionalized organizations that have created the first infrastructure. To solve the most complex problems, a trichotomous relationship between different forms of organizations is necessary. Moreover, communicational technological approaches become more sophisticated as grand challenges increase in complexity.
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Elisabeth Ilie-Zudor, Anikó Ekárt, Zsolt Kemeny, Christopher Buckingham, Philip Welch and Laszlo Monostori
– The purpose of this paper is to examine challenges and potential of big data in heterogeneous business networks and relate these to an implemented logistics solution.
Abstract
Purpose
The purpose of this paper is to examine challenges and potential of big data in heterogeneous business networks and relate these to an implemented logistics solution.
Design/methodology/approach
The paper establishes an overview of challenges and opportunities of current significance in the area of big data, specifically in the context of transparency and processes in heterogeneous enterprise networks. Within this context, the paper presents how existing components and purpose-driven research were combined for a solution implemented in a nationwide network for less-than-truckload consignments.
Findings
Aside from providing an extended overview of today’s big data situation, the findings have shown that technical means and methods available today can comprise a feasible process transparency solution in a large heterogeneous network where legacy practices, reporting lags and incomplete data exist, yet processes are sensitive to inadequate policy changes.
Practical implications
The means introduced in the paper were found to be of utility value in improving process efficiency, transparency and planning in logistics networks. The particular system design choices in the presented solution allow an incremental introduction or evolution of resource handling practices, incorporating existing fragmentary, unstructured or tacit knowledge of experienced personnel into the theoretically founded overall concept.
Originality/value
The paper extends previous high-level view on the potential of big data, and presents new applied research and development results in a logistics application.
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