Marcela do Carmo Silva, Helder Gomes Costa and Carlos Francisco Simões Gomes
The purpose of this paper is to observe how to invest in upper-middle income countries via an innovation perspective following global innovation index (GII) by multicriteria…
Abstract
Purpose
The purpose of this paper is to observe how to invest in upper-middle income countries via an innovation perspective following global innovation index (GII) by multicriteria decision aid (MCDA) approach, once MCDA was designed to support subjective decisions.
Design/methodology/approach
Pearson’s correlation was the milestone for understanding innovation indicators at upper-middle income countries profiles. In a MCDA first step, the analytical hierarchy process (AHP) was applied to obtain the criteria weight. In this step, the judgments or evaluations inputted in AHP were collected from a sample composed by five experts in GII. After getting the criteria weights compose to GII, Borda and Preference Ranking Organization Method for Enrichment Evaluations (PROMÉTHÉE) methods were applied to obtain an MCDA-based GII. The inputs for this second step were: the weights come from AHP output; and the countries performance came from GII data.
Findings
As a result, it was found out the upper-middle countries’ rank to invest and groups with countries acting like “hubs” or “bridges” for economic sectors in near countries; when they are grouped according to their maximum and minimum scores profiles, observing not only a particular region but also similar profiles at diverse world areas.
Originality/value
Pearson-AHP-PROMÉTHÉE works as a supportive decision tool for several and complex investment perspectives from criteria and alternatives analysis regarding innovation indicators for upper-middle income countries. This combination also demonstrates grouping possibilities, aligning profiles and not only ranking countries for investment and eliminating others but also grouping countries with similar profiles via innovation indicators MCDA combined application.
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Kevin LaMont Johnson, Wade M. Danis and Marc J. Dollinger
In this study we confirm the often assumed but largely untested belief that entrepreneurs think and behave differently than others. We examine a group of more than 700 nascent…
Abstract
In this study we confirm the often assumed but largely untested belief that entrepreneurs think and behave differently than others. We examine a group of more than 700 nascent entrepreneurs and 400 nonentrepreneurs. We determine the entrepreneurs’ cognitive style propensity for problem solving (Innovator versus Adaptor); we compare their expectations; and, we examine the outcomes (performance and start-up) of their ventures. We find that nascent entrepreneurs are more likely to be overly optimistic Innovators, most people are Adaptors, and oneʼs cognitive style can indeed play a role in the initial development and outcome for the venture, but not always as expected.
The purpose of the study is to investigate the correlation between credit supply to government and credit supply to the private sector to determine whether there is a crowding-out…
Abstract
Purpose
The purpose of the study is to investigate the correlation between credit supply to government and credit supply to the private sector to determine whether there is a crowding-out or crowding-in effect of credit supply to government on credit supply to the private sector.
Design/methodology/approach
The study used data from 43 countries during the 1980–2019 period. The study employed the Pearson correlation methodology to analyze the data.
Findings
There is a significant positive correlation between credit supply to government and credit supply to the private sector. There is also a significant positive relationship between credit supply to government and credit supply to the private sector, implying a crowding-in effect of government borrowing on private sector borrowing. The positive correlation between credit supply to government and credit supply to the private sector by banks is stronger and highly significant in the period before the Great Recession, while the positive correlation is weaker and less significant during the Great Recession, and the correlation further weakens after the Great Recession. The regional analyses show that the positive correlation between credit supply to government and credit supply to the private sector by banks is stronger and highly significant in the African region than in the Asian region and the region of the Americas.
Originality/value
There is no evidence on the correlation between credit supply to government and credit supply to the private sector during the Great Recession.
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This paper aims to investigate the correlation between banking sector non-performing loans (NPLs) and the level of sustainable development.
Abstract
Purpose
This paper aims to investigate the correlation between banking sector non-performing loans (NPLs) and the level of sustainable development.
Design/methodology/approach
Pearson correlation test statistic was used to assess the correlation between bank NPLs and sustainable development.
Findings
There is a significant positive correlation between banking sector NPLs and the level of sustainable development measured by the sustainable development index (SDI). The significant positive correlation is evident in European countries and in countries in the region of the Americas. There is a significant negative correlation between banking sector NPLs and achieving SDG3 and SDG7 in African countries and European countries. There is also a significant negative correlation between NPLs and achieving SDG10 in European countries. There is a significant positive correlation between banking sector NPLs and achieving SDG4 and SDG7 in the region of the Americas. There is also a significant positive correlation between NPLs and achieving SDG10 in African countries and in countries in the region of the Americas.
Originality/value
The present study is unique and different from other studies because it used a unique SDI to capture the level of sustainable development. The analysis is also unique because it covers several regions, which have not been covered in previous studies.
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Stephen C. Jones, Tami L. Knotts and Gerald G. Udell
This study examines the results of a program intended to act as a selection tool for mass merchandisers and a development tool for small manufacturers. The evaluation program…
Abstract
This study examines the results of a program intended to act as a selection tool for mass merchandisers and a development tool for small manufacturers. The evaluation program assessed the management practices and products of potential suppliers. Based on past experience, buyers for mass merchandisers consider small manufacturing enterprises a poor risk as potential suppliers of retail goods. As part of the evaluation process, firms were asked 34 closed-end questions regarding their management practices, and each product was evaluated on 41 specific qualities necessary for the mass merchandising market. Of the 1,690 firms that participated in this project, about 5 percent had their products accepted by a national mass merchandiser. A review of the evaluation data reveals that firms needed high performance in both areas of evaluation to be successful in the marketplace, not just a strong firm or a marketable product. However, each of these areas separately had a statistically significant effect on the success of the product in gaining a retail buyer’s attention.
Duarte Xara-Brasil, Kavita Miadaira Hamza and Percy Marquina
The purpose of this paper is to analyze customers’ perceptions about brand personality in different cultural environments, checking if the archetypal framework of Mark and Pearson…
Abstract
Purpose
The purpose of this paper is to analyze customers’ perceptions about brand personality in different cultural environments, checking if the archetypal framework of Mark and Pearson (2001) applies to different brands across countries.
Design/methodology/approach
The authors measured consumers’ perceptions in different cultural contexts through a survey, and received 537 valid questionnaires from Portugal, Brazil, Colombia and Peru, countries that have some similar indicators of cultural proximity. The authors wanted to verify if the words and sentences that respondents related to each brand were coherent with the archetype/brand, and the homogeneity of the results in different cultural contexts.
Findings
Empirical evidence shows that there is proximity between the literature review and the associations – words and sentences – that consumers from different countries make with those brands. This consistency of results is significantly higher for word associations.
Originality/value
Regardless of the results, the perceptions of consumers expressed through the selected words were often diverse and heterogeneous among countries. This could possibly indicate insufficient efforts from global brands toward a coherent brand personality/global-archetypal approach. Therefore, managing brand personality deserves more attention and marketers must understand consumer behavior patterns in different markets.
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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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Oana Daniela Lupoae, Alexandru Capatina, Riana Iren Radu, Violeta Maria Isai and George Cristian Schin
This study aims to investigate the correlations between latent variables embedded into three clusters (equine agritourism, therapeutic horse riding and equine sports) and…
Abstract
Purpose
This study aims to investigate the correlations between latent variables embedded into three clusters (equine agritourism, therapeutic horse riding and equine sports) and entrepreneurial intentions of people interested to invest in equestrian sector.
Design/methodology/approach
The authors propose a conceptual framework focused on three latent variables that influence the interest of horse enthusiasts to embrace an entrepreneurial career. Statistical analyses via Pearson’s chi-square tests, analysis of variance (statistical formula used to compare variances across the means (or average) of different groups) and regression analysis have been performed to validate our assumptions.
Findings
Findings reveal a high level of interest of from horse enthusiasts to opt for an entrepreneurial career, as funding opportunities in this sector are growing due to European union and national funding available for this endeavour.
Originality/value
Very limited research studies have been explored the entrepreneurial intentions in equine industry. This study proves that sports and therapeutic activities influence to the greatest extent, the entrepreneurial intention in the equestrian sector.
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Md. Abdur Rouf, Mohammad Sharif Hossain, Md. Habibullah and Tanvir Ahmed
The main purpose of this paper is to find out the perception of different respondents' groups related to the factors that influence the online learning for higher education in…
Abstract
Purpose
The main purpose of this paper is to find out the perception of different respondents' groups related to the factors that influence the online learning for higher education in Bangladesh during the COVID-19 pandemic.
Design/methodology/approach
A survey through a structured questionnaire was conducted to gather qualitative information from the 250 respondents (university students, faculty members and administrative officers) in Bangladesh. A questionnaire has been used for collecting primary data, which have been selected using the justification method under the non-probability sampling technique.
Findings
The findings of this study indicated that majority of the respondents told that online classes could be more challenging than the traditional classroom because of the technological constraints, digital divide, insufficient data pack to access the material to attend the class, poor connectivity, lack of device, poor learning environment, technophobia, delayed response and incapability of the teacher to handle efficiently the material and communication machineries.
Research limitations/implications
Due to time restriction and the COVID-19 pandemic, the study was constrained only to Dhaka region in Bangladesh.
Practical implications
The outcomes of the work can be supportive to the governing bodies and proprietors of the higher schooling organizations who are forecasting to adopt online education as a consistent movement in the future.
Originality/value
At last, based on outcomes, investigators have presented some recommendations that can be taken into consideration at policy level. The study would help universities to comply with the pressing need to impart experiential learning through online education during the COVID-19 pandemic.
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Tong Suk Kim, Yun Keun Lee and Jung-Soon Hyun
The term structure of KTB (Korea Treasury Bond) is empirically implemented and forecasted by the extended 2-factor CIR model. Pearson and Sun model. MLE is applied to estimate…
Abstract
The term structure of KTB (Korea Treasury Bond) is empirically implemented and forecasted by the extended 2-factor CIR model. Pearson and Sun model. MLE is applied to estimate parameters. Using KTB prices forecasted by the model, strategies of trading and hedge between KTB, KTF (Korea Treasury Futures) are established. In this article we can see that Pearson and Sun model appropriately explains the term structure of KTB but does not fit forecasting KTB prices. However, the model well forecasts the direction of interest rate moving up or down. Through such a forecast‘ profit via trading KTB and KTF can be realized.