scholarly journals The effects of Ponzi schemes and revocation of licences of some financial institutions on financial threat in Ghana

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Edmond Ofori
Keyword(s):  
Logistic Regression ◽  
Health Information ◽  
Financial Institutions ◽  
Information Search ◽  
General Health ◽  
Job Loss ◽  
Binary Logistic Regression ◽  
Research Approach ◽  
Content Type ◽  
Financial Threat

Purpose The purpose of this study was to assess the effects of the Ponzi schemes and revocation of licences of some financial institutions in Ghana on financial threat. Design/methodology/approach The study adopted a quantitative research approach. Convenient sampling method was used to select 435 individuals from three regions in Ghana. Standardize questionnaire developed by the researcher was used as the main data collection instrument. The binary logistic regression was used to test the relationship between the dependent variable and the independent variables. Findings The results of the study showed a positive relationship between financial threat and job loss, general health, information search and loss of investment. However, negative relationship was identified between financial threat and total debt, stress, economic hardship and anxiety. Findings from this study imply that job loss, general health, information search and loss of investment are major factors that determined financial threat in Ghana. Practical implications This indicates that individuals in Ghana have become uncertain regarding the use of current and future financial services in Ghana because most individuals have lost their jobs in the financial institutions, cannot get access to safe drinking water and education, need to gather more information before investing in financial institutions in Ghana and losing of funds invested. Originality/value This study is the first to test the effects of the Ponzi schemes and the revocation of licences of some financial institutions in Ghana on financial threat using binary logistic regression.

Predicting readers’ domain knowledge based on eye-tracking measures

2018 ◽  
Vol 36 (6) ◽  
pp. 1027-1042 ◽  
Author(s):  
Quan Lu ◽  
Jiyue Zhang ◽  
Jing Chen ◽  
Ji Li
Keyword(s):  
Logistic Regression ◽  
Eye Tracking ◽  
Information Search ◽  
Domain Knowledge ◽  
Fixation Duration ◽  
Baseline Model ◽  
Content Type ◽  
Knowledge Based ◽  
Total Fixation ◽  
Negative Predictor

Purpose This paper aims to examine the effect of domain knowledge on eye-tracking measures and predict readers’ domain knowledge from these measures in a navigational table of contents (N-TOC) system. Design/methodology/approach A controlled experiment of three reading tasks was conducted in an N-TOC system for 24 postgraduates of Wuhan University. Data including fixation duration, fixation count and inter-scanning transitions were collected and calculated. Participants’ domain knowledge was measured by pre-experiment questionnaires. Logistic regression analysis was leveraged to build the prediction model and the model’s performance was evaluated based on baseline model. Findings The results showed that novices spent significantly more time in fixating on text area than experts, because of the difficulty of understanding the information of text area. Total fixation duration on text area (TFD_T) was a significantly negative predictor of domain knowledge. The prediction performance of logistic regression model using eye-tracking measures was better than baseline model, with the accuracy, precision and F(β = 1) scores to be 0.71, 0.86, 0.79. Originality/value Little research has been reported in literature on investigation of domain knowledge effect on eye-tracking measures during reading and prediction of domain knowledge based on eye-tracking measures. Most studies focus on multimedia learning. With respect to the prediction of domain knowledge, only some studies are found in the field of information search. This paper makes a good contribution to the literature on the effect of domain knowledge on eye-tracking measures during N-TOC reading and predicting domain knowledge.

Health information systems in Namibia

2018 ◽  
Vol 119 (7/8) ◽  
pp. 358-376
Author(s):  
Cathrine Tambudzai Nengomasha ◽  
Ruth Abankwah ◽  
Wilhelm Uutoni ◽  
Lilian Pazvakawambwa
Keyword(s):  
Information Systems ◽  
Health Information ◽  
Mixed Methods Research ◽  
Health Sector ◽  
Health Information Systems ◽  
Quality Of Healthcare ◽  
Research Approach ◽  
Content Type ◽  
Patient Health ◽  
Data Survey

Purpose This paper aims to report some findings of a study that investigated health information systems (HISs) in Namibia with a view of establishing the nature of these systems and coming up with recommendations on how these could be enhanced. Design/methodology/approach This study applied a mixed methods research approach, using interviews and survey questionnaire to collect data. Survey data were analysed for descriptive statistics using SPSS and data from interviews were analysed applying content analysis for data analysis. Findings The findings of this study indicate fragmented HISs resulting in duplication of diagnosis, tests and treatment. The findings show that there were errors in capturing data into the systems, which could compromise the reliability of the data and compromise service delivery. Research limitations/implications This study was limited to two (Khomas and Oshana) of the fourteen regions in Namibia; therefore, further studies could look at other regions, as the study findings cannot be generalised to the entire country. Practical implications The findings and recommendations, particularly those relating to the public health sector, could inform policies and procedures, especially those relating to the patient health passport (card), and the way health information is shared within and across health sectors. Originality/value This study focused on health information sharing, whereas a previous study on HISs concentrated on quality of healthcare.

Copa America: a resource-based theory of football talent

2019 ◽  
Vol 25 (3/4) ◽  
pp. 176-191
Author(s):  
Peter Omondi-Ochieng
Keyword(s):  
Logistic Regression ◽  
Design Methodology ◽  
Binary Logistic Regression ◽  
Content Type ◽  
Independent Variables ◽  
Football Team ◽  
Practical Implications ◽  
Resource Based Theory

Purpose Guided by the resource-based theory, the purpose of this study was to predict the role of football talent in the Federation Internationale de Football Association (FIFA) rankings of the men’s national football teams in the Copa America zone. Design/methodology/approach The study used archival data of Copa American national football teams. The dependent variable was FIFA rankings, and the independent variables were football talent (measured by the stocks of amateur footballers, professional footballers and football officials). Statistical analysis was performed using Kendall tau statistic and binary logistic regression. Findings The binary logistic regression results indicated that FIFA rankings were statistically and significantly associated with the stock of football officials and professional footballers – but not amateur footballers. The predictive model explained 80 per cent of the variance. Research limitations/implications The study focused exclusively on the stock of football talent in each nation, and not alternative determinants of national football team competitiveness as economic power and quality of professional football leagues, among others. Practical implications The stocks of professional footballers and football officials are valuable sources of competitive advantage (CA) in national football team rankings. Originality/value The study highlighted the uniqueness and distinctiveness of a nation possessing large stocks of professional footballers which can boost the CA and rankings of Copa American national football teams.

Resource-based view of innovation activity in SMEs: an empirical analysis based on the global competitiveness project

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lívia Lukovszki ◽  
András Rideg ◽  
Norbert Sipos
Keyword(s):  
Logistic Regression ◽  
Literature Review ◽  
Empirical Analysis ◽  
Binary Logistic Regression ◽  
Point Of View ◽  
Innovation Activity ◽  
Data Set ◽  
Content Type ◽  
Resources And Capabilities ◽  
The Impact

Purpose The purpose of this study is to identify the corporate functions that contribute most to the innovation success of SMEs with limited resources. After a systematic literature review, the authors used a unique primary data set of 784 SMEs from eight countries. Descriptive statistics and binary logistic regression were used to show the data set peculiarities. The logistic regression targeted the presence of innovative products and services in sales by 11 dummy variables and 4 principal factors describing SMEs’ different resources and capabilities. Design/methodology/approach The authors developed a resource-based product innovation model that is synthesising the impact of the company resources and capabilities and of the innovation activity of the company on the actual innovation performance. The authors carry out an empirical analysis of the characteristic features of innovation activity in an international sample of SMEs. Findings The results show that two corporate functions play a crucial role in the effectiveness of innovation for SMEs as follows: management and research and development (R&D). In addition, although of lesser importance, the effect of the marketing function also appears significant. The binary logistic regression had 84.2% of explanatory power. Originality/value From a scientific point of view, the SME-focussed, complex and synthesising RBV model of innovation construction and literature review can be used as a reference point for future researches. From a practical point of view, the analysis is useful for those SMEs, which want to gain a competitive advantage through innovation. Indeed, the results show that in the case of SMEs, a company wishing to innovate must invest in three corporate functions for innovation to be effective as follows: management, R&D and marketing.

scholarly journals Determinants of adaptation strategies to climate change among the smallholder farmers in Adama District, Ethiopia

2020 ◽  
Vol 12 (4) ◽  
pp. 463-476
Author(s):  
Hurgesa Hundera Hirpha ◽  
Sylvester Mpandeli ◽  
Amare Bantider
Keyword(s):  
Climate Change ◽  
Logistic Regression ◽  
Regression Model ◽  
Climate Change Adaptation ◽  
Logistic Regression Model ◽  
Smallholder Farmers ◽  
Binary Logistic Regression ◽  
Adaptation Strategies ◽  
Binary Logistic Regression Model ◽  
Content Type

Purpose The Ethiopian economy is mainly based on the rain-fed agriculture practiced by smallholder farmers. The sector is highly vulnerable to climate change impacts. This study aims to examine the determinants of adaptation strategies to climate change among the smallholder farmers in Adama District, Ethiopia. Design/methodology/approach A cross-sectional survey design was used to collect quantitative data using questionnaire with 351 randomly selected smallholder farmers. To collect qualitative data focus group discussions, key informant interviews and field observations were also used. Triangulated with thematic analysis, descriptive statistics and binary logistic regression model were used for the analysis. Findings The result indicated that the majority of the smallholder farmers use at least one climate change adaptation strategy in their local areas though the strategy is generally weak. In this regard, some of the dominant climate change adaptation activities identified in the study area are using improved crop varieties, planting trees, watershed management, adjusting planting date and terracing. The result from binary logistic regression model showed that age and sex of household head, as well as their education, family size, access to agricultural extension services and training on climate change significantly influence the practices of adaptation measures. Originality/value This study would help the practitioners to modify the existing weak adaptation activities by introducing advanced and technological-based adaptation strategies to the rural farming communities.

Procurement planning as a strategic tool for public procurement effectiveness: Experience from selected public procuring entities in Dodoma city, Tanzania

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ismail Abdi Changalima ◽  
Gift Onesmo Mushi ◽  
Shadrack Samwel Mwaiseje
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Public Procurement ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Cross Sectional ◽  
Content Type ◽  
Survival And Development ◽  
Procurement Planning

Purpose The significance of the public procurement function is on the survival and development of procuring entities and that of a nation at large. This study aims to focus on examining the influence of procurement planning on the effectiveness of public procurement, experience from selected public procuring entities in Dodoma city, Tanzania. Design/methodology/approach A cross-sectional design was adopted from which data were collected from 146 respondents who were purposively chosen from several public procuring entities located at Dodoma city in the United Republic of Tanzania by using a survey structured questionnaire and analysed through a binary logistic regression model. Findings Findings revealed that procurement planning as a strategic function significantly influences the effectiveness of public procurement. The binary logistic regression model included the implementation of prepared procurement plans (p = 0.039), the involvement of users as stakeholders and important institutional actors in public procurement (p = 0.033), compliance to procurement laws and regulations when planning (p = 0.016) and adequacy of budget (p = 0.042) as predictors of procurement planning were tested to be significantly related to the effectiveness of public procurement. It was concluded that public procuring entities can achieve public procurement effectiveness through procurement planning. Social implications The implications and policy recommendations of the findings of this study would be useful to procurement practitioners mostly in public procuring entities. Originality/value This study contributes to adding knowledge to the existing body of knowledge on procurement planning as an imperative activity in public procurement in Tanzania.

The impact of intellectual capital on start-up expectations

2016 ◽  
Vol 17 (4) ◽  
pp. 654-674 ◽  
Author(s):  
Diego Matricano
Keyword(s):  
Logistic Regression ◽  
Intellectual Capital ◽  
Regression Models ◽  
Empirical Studies ◽  
Binary Logistic Regression ◽  
Research Trend ◽  
Content Type ◽  
Logistic Regression Models ◽  
Start Up ◽  
The Impact

Purpose According to an emerging research trend, which seeks to apply the concept of intellectual capital (IC) to the field of entrepreneurship, the purpose of this paper is to test whether IC can affect the start-up expectations of aspiring entrepreneurs. Design/methodology/approach Binary logistic regression models, based on empirical data derived from the Global Entrepreneurship Monitor website and referring to Italy over the years 2005-2010, are used to test the influence of IC (comprising human, structural and relational capital) on start-up expectations. Findings Binary logistic regression models reveal robust results. Human, structural and relational capitals affect start-up expectations in Italy. Only in 2010 did structural capital fail to do so. Research limitations/implications This study has three main limitations. The first concerns the need for further research to confirm the influence of IC on start-up expectations. The second concerns in-depth, more exhaustive analyses that cannot be carried out due to the use of second- hand data. The third deals with the reference only to Italy, over a limited time-span (2005-2010). Originality/value To the best knowledge of the author, this is one of the first empirical studies that investigate whether IC can affect start-up expectations. Results revealed by the regression models might steer other scholars’ interest toward this research path (linking IC and entrepreneurship) that has not yet been properly considered.

Market orientation in Islamic banks – a qualitative approach

2014 ◽  
Vol 32 (4) ◽  
pp. 495-527 ◽  
Author(s):  
Mostaque Ahmed Zebal ◽  
Hussein M. Saber
Keyword(s):  
Market Orientation ◽  
United Arab Emirates ◽  
Financial Institutions ◽  
Customer Orientation ◽  
Management Training ◽  
Data Matrix ◽  
Research Approach ◽  
Content Type ◽  
Islamic Financial Institutions ◽  
Antecedents And Consequences

Purpose – The purpose of this paper is to explore the nature of market orientation that exists in the Islamic financial institutions. The study further aims at identifying the antecedents and consequences of such market orientation. Design/methodology/approach – Considering the explorative nature, the study uses qualitative research approach, collecting data in words using in-depth interview technique, drawing sample from Islamic financial institutions of both Bangladesh and United Arab Emirates. Data were coded and categorized using inductive reasoning method and similar responses were identified from a prepared data matrix. The results were presented in a narrative way using simple frequency for the agreements and disagreements of respondents considering “street language” without being mediating the meaning of the responses. Findings – A different nature of market orientation called Islamic market orientation has been identified by the results of the study. The study identifies five elements (orientation on Islamic customer, orientation on information, orientation on integration, orientation on competition, and finally orientation on responsiveness) that embody the formation of Islamic market orientation. The study also identifies a different set of antecedents (attitude toward Islamic values, Islamic leadership, risk partaking, inter-relationships, government legislations, and management training) that are responsible for determining the extent of Islamic market orientation. The study further identifies a set of consequences (profitability, customer satisfaction and retention, gaining new customers, increase of employees’ team spirit and satisfaction, service quality improvement, increase of market share, and increase of work efficiency) when market-oriented behavior is being adopted by the Islamic financial institutions. Originality/value – To the best of the knowledge of the authors of this study, the results offer a different kind of market orientation along with its antecedents and consequences which can be considered as completely original and unique.

Resource-based theory of college football team competitiveness

2019 ◽  
Vol 27 (4) ◽  
pp. 834-856 ◽  
Author(s):  
Peter Omondi-Ochieng
Keyword(s):  
Logistic Regression ◽  
Human Resources ◽  
Competitive Advantage ◽  
Binary Logistic Regression ◽  
College Football ◽  
Competitive Advantages ◽  
Organizational Resources ◽  
Content Type ◽  
Physical Resources ◽  
Resource Based Theory

Purpose This paper aims to predict a college football team’s competitiveness using physical resources, human resources and organizational resources. Design/methodology/approach Guided by the resource-based theory, the study used archival data of 101 college football teams. The dependent variable was competitiveness (indicated by win-loss records), the independent variables were physical resources (operationalized as home attendance and total revenues), human resources (measured as coaches’ salary and coaches’ experience) and organizational resources (specified as conference rankings and the number of sports). Kendall Tau correlation and binary logistic regression were used to examine the associative and predictive competitive advantages. Findings The binary logistic regression model showed an overall percentage predictive correctness of 71.3%, with a Negelkerke R2 of 41.1% of the variance of all predictors – with coaches’ experience, total revenues and home attendance being the best predictors of generating competitive advantages that produced superior win-loss records. Research limitations/implications The research focused exclusively on physical, organizational and human resources as sources of competitive advantage and not physiological and/or psychological variables. Practical implications College football teams aspiring to be competitive may benefit from this study by applying a three-fold strategy of hiring well-paid high performing and experienced coaches who can increase attendance and revenues. Originality/value The study was unique in two ways – one, it made clear the positive significance of coaches’ experience as a source of competitive advantage, and second, it highlighted the catalytic effects of revenues and attendance in fueling competitiveness.

Using the eye-tracking method to study consumer online health information search behaviour

2019 ◽  
Vol 71 (6) ◽  
pp. 739-754 ◽  
Author(s):  
Jacek Gwizdka ◽  
Yan Zhang ◽  
Andrew Dillon
Keyword(s):  
Eye Tracking ◽  
Health Information ◽  
Information Search ◽  
Online Health Information ◽  
Knowledge Gain ◽  
Unique Contribution ◽  
Search Behaviour ◽  
Content Type ◽  
Information Behaviour ◽  
Information Research

Purpose The purpose of this paper is to introduce eye tracking as a method for capturing direct and indirect measures of online human information search behaviour. The unique contribution of eye-tracking data in studying information behaviour is examined in the context of health information research. Design/methodology/approach The need for multiple methods of data collection when examining human online health information behaviour is described and summarised. The nature of human eye movements in information use and reading is outlined and the emergence and application of contemporary eye-tracking technology are explained. Findings The paper summarises key contributions and insights that eye tracking has provided across multiple studies, with examples of both direct data on fixations and gaze durations as well as theoretical assessments of relevance and knowledge gain. Originality/value The paper provides a basic introduction to the application of a unique method for information research in general and online health information search in particular and provides readers with an awareness of how such data are captured and interpreted.

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