scholarly journals A benefit segmentation framework for a nature-based tourism destination: the case of Kruger, Panorama and Lowveld areas in Mpumalanga Province

2020 ◽  
Vol 6 (4) ◽  
pp. 953-973
Author(s):  
Lesedi Tomana Nduna ◽  
Cine van Zyl
Keyword(s):  
Cluster Analysis ◽  
Logistic Regression ◽  
Quantitative Research ◽  
Binary Logistic Regression ◽  
Tourism Destination ◽  
Content Type ◽  
Quantitative Research Methods ◽  
Mpumalanga Province ◽  
Benefit Segmentation ◽  
Segmentation Framework

Purpose The purpose of this study is to investigate benefits tourist seek when visiting a nature-based tourism destination to develop a benefit segmentation framework. Design/methodology/approach The study used quantitative research methods, with 400 self-administered survey administered to a sample of 400 tourists visiting the Kruger, Panorama, and Lowveld areas in Mpumalanga. Findings Cluster analysis produced two benefit segments. Binary logistic regression benefits that emerged from the cluster analysis were statistically significant predictors of the attractions tourists visited and the activities in which they participated during their stays in Mpumalanga. Factor-cluster analysis and binary logistic regression results were used to develop a benefit segmentation framework as a marketing planning tool. Research limitations/implications The study was only based on Mpumalanga Province and therefore, the results cannot be generalised. The study was conducted over one season, the Easter period Practical implications The proposed benefit segmentation framework provides a tool that destination management organisations can use to plan effectively for marketing. Social implications Effective marketing may lead to increased tourism growth which can have a multiplier effect on the destination. Originality/value This article is based on a master’s study conducted in Mpumalanga and results are presented on this paper.

The human factor: assessing individuals’ perceptions related to cybersecurity

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Susan Ramlo ◽  
John B. Nicholas
Keyword(s):  
Computer Security ◽  
Quantitative Research ◽  
Q Methodology ◽  
Educational Interventions ◽  
Public And Private ◽  
College Majors ◽  
Content Type ◽  
Quantitative Research Methods ◽  
Security Breaches ◽  
Study Participants

Purpose The purpose of this paper is to reveal and describe the divergent viewpoints about cybersecurity within a purposefully selected group of people with a range of expertise in relation to computer security. Design/methodology/approach Q methodology [Q] uses empirical evidence to differentiate subjective views and, therefore, behaviors in relation to any topic. Q uses the strengths of qualitative and quantitative research methods to reveal and describe the multiple, divergent viewpoints that exist within a group where individuals sort statements into a grid to represent their views. Analyses group similar views (sorts). In this study, participants were selected from a range of types related to cybersecurity (experts, authorities and uninformed). Findings Four unique viewpoints emerged such that one represents cybersecurity best practices and the remaining three viewpoints represent poor cybersecurity behaviors (Naïve Cybersecurity Practitioners, Worried but not Vigilant and How is Cybersecurity a Big Problem) that indicate a need for educational interventions within both the public and private sectors. Practical implications Understanding the divergent views about cybersecurity is important within smaller groups including classrooms, technology-based college majors, a company, a set of IT professionals or other targeted groups where understanding cybersecurity viewpoints can reveal the need for training, changes in behavior and/or the potential for security breaches which reflect the human factors of cybersecurity. Originality/value A review of the literature revealed that only large, nation-wide surveys have been used to investigate views of cybersecurity. Yet, surveys are not useful in small groups, whereas Q is designed to investigate behavior through revealing subjectivity within smaller groups.

Testing, testing: a usability case study at University of Toronto Scarborough Library

2019 ◽  
Vol 40 (1/2) ◽  
pp. 88-97 ◽  
Author(s):  
Sarah Guay ◽  
Lola Rudin ◽  
Sue Reynolds
Keyword(s):  
Quantitative Research ◽  
Usability Testing ◽  
Lessons Learned ◽  
Steady Increase ◽  
Card Sorting ◽  
Content Type ◽  
Quantitative Research Methods ◽  
University Of Toronto ◽  
Key Resources ◽  
Task Oriented

Purpose With the rise of virtual library users and a steady increase in digital content, it is imperative that libraries build websites that provide seamless access to key resources and services. The paper aims to discuss these issues. Design/methodology/approach Usability testing is a valuable method for measuring user habits and expectations, as well as identifying problematic areas for improvement within a website. Findings In this paper, the authors provide an overview of user experience research carried out on the University of Toronto Scarborough Library website using a mixture of qualitative and quantitative research methods and detail insights gained from subsequent data analysis. Originality/value In particular, the authors discuss methods used for task-oriented usability testing and card sorting procedures using pages from the library website. Widely applicable results from this study include key findings and lessons learned from conducting usability testing in order to improve library websites.

The use of social media by South African organisations

2018 ◽  
Vol 15 (2) ◽  
pp. 198-210 ◽  
Author(s):  
Nomusa Nomhle Dlamini ◽  
Kevin Johnston
Keyword(s):  
South Africa ◽  
Social Media ◽  
South African ◽  
Quantitative Research ◽  
Brand Management ◽  
Research Question ◽  
Management Tool ◽  
Content Type ◽  
Quantitative Research Methods ◽  
Main Research

Purpose The purpose of this paper is to present how organisations in South Africa are using social media. The paper further explores the value of social media to South African organisations and if it is important for an organisation to have a social media presence. Design/methodology/approach The study used quantitative research methods to answer the main research question and sub-questions. Findings The data collected revealed that most organisations in South Africa are using social media for free advertising, CRM and marketing. The popular social media sites used by these organisations are Facebook and Twitter, with LinkedIn increasing in popularity. The data further revealed that social media is important in organisations for relationship building, contact keeping advertising, marketing, attracting customers, brand management and information gathering. Research limitations/implications The role of social media is changing, it was initially a marketing tool, but the findings revealed that majority of organisations are using social media for free advertising, CRM and marketing. Social media is an easy CRM tool that offers effective and efficient capabilities. Practical implications It is important to use integrate social media with the organisations processes to market and advertise new products, it is an instant and cost-saving way of communicating with customers, and helps in reaching and attracting new customers. Social implications Social media is important for keeping contact and building relationships with customers, advertising and marketing, way to attract customers, brand management tool and gathering information. Originality/value The study provides guidance to how organisation can use social media, identifying the value of using social media and highlighting the importance of social media in an organisation in the South African context.

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.

Critical success factors of an effective repairs and maintenance service for social housing in the UK

Facilities ◽  
2014 ◽  
Vol 32 (5/6) ◽  
pp. 226-240 ◽  
Author(s):  
Matthew Tucker ◽  
Martin Turley ◽  
Sam Holgate
Keyword(s):  
Social Housing ◽  
Quantitative Research ◽  
Critical Success Factors ◽  
Success Factors ◽  
Content Type ◽  
Quantitative Research Methods ◽  
Service Levels ◽  
Critical Success ◽  
Maintenance Service ◽  
The Uk

Purpose – The purpose of this paper is to investigate the critical success factors of an effective repairs service by initially identifying what the important considerations are. Design/methodology/approach – Using quantitative research methods the study then examines how important each of the factors is considered from the perspective of those responsible for such services in the Northwest of England, the level of implementation throughout the region is also examined. Findings – Respondents felt that all 11 factors are perceived as “very” important but only nine are “always” implemented within their place of work. Sustainability and innovation are identified as the two factors that are least critical. It can also be said that although important and well implemented, the in-house skills factor does not appear to be considered as critical in comparison to the other factors. Originality/value – The UK housing sector is under an enormous amount of pressure to meet the needs of a growing population in extremely uncertain financial conditions. Social housing is a potential solution but providers are currently contending with reduced budgets and cuts to staffing levels together with an expectation that service levels will be maintained and value for money maximised. Repairs and maintenance of their stock is at the forefront of their challenge to meet these expectations and it is therefore vital that the service they provide is effective.

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.

An analysis of risk management tools utilized by Illinois farmers

2014 ◽  
Vol 74 (1) ◽  
pp. 69-86 ◽  
Author(s):  
Kerry Tudor ◽  
Aslihan Spaulding ◽  
Kayla D. Roy ◽  
Randy Winter
Keyword(s):  
Cluster Analysis ◽  
Risk Management ◽  
Logistic Regression ◽  
Multinomial Logistic Regression ◽  
Risk Attitude ◽  
Management Tool ◽  
Management Service ◽  
Perceived Effectiveness ◽  
Management Tools ◽  
Content Type

Purpose – The purpose of this paper is to investigate the relationships among choice of risk management tools, perceived effectiveness of risk management tools, self-reported risk attitude, and farm and farmer characteristics. Design/methodology/approach – A mail survey was used to collect information about utilization of risk management tools, perceived effectiveness of risk management tools, and factors that could influence choice of risk management tools by Illinois farmers. Cluster analysis, one-way ANOVA, χ2 tests of independence, and multinomial logistic regression were utilized to detect possible relationships among choice of risk management tools, perceived effectiveness of risk management tools, self-reported risk attitude, and farm and farmer characteristics. Findings – Multinomial logistic regression analysis revealed that age and gross farm income (GFI) were the strongest predictors of the risk management tool utilization group to which an individual would be assigned. The number of risk management tools utilized decreased with age but increased with GFI. Neither self-reported risk attitude nor education was a significant independent variable in the multinomial logistic regression model, but both were strongly impacted by age. Younger farmers with higher GFI were the most likely users of hedging. Research limitations/implications – The results of this study provide support for the idea that farmers who are better able to generate revenue are better able to manage risk, but the direction of causality was not investigated. Practical implications – Risk management service providers could benefit from this study as a benchmark for understanding their current and potential farmer clients’ risk management strategies. Originality/value – This study used cluster analysis and multinomial logistic regression to address the complexity of decisions regarding multiple risk management tools. The number of tools utilized by individuals was investigated.

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.

Sign in / Sign up

Export Citation Format

Share Document