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Abstract

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Nutrition & Food Science, vol. 99 no. 6
Type: Research Article
ISSN: 0034-6659

Article
Publication date: 7 August 2018

Marcelo H.S. Pacheco, Erick Almeida Esmerino, Carla S.C. Capobiango, Adriano G. Cruz, Ludmila Salerno Leddomado, Tatiana Colombo Pimentel, Irineu Machado Benevides Filho and Monica Queiroz de Freitas

The purpose of this paper is to determine the classic (static) and dynamic sensory profile of different bottled mineral water samples, and to evaluate the consumer’s…

Abstract

Purpose

The purpose of this paper is to determine the classic (static) and dynamic sensory profile of different bottled mineral water samples, and to evaluate the consumer’s liking of the products.

Design/methodology/approach

Classic quantitative descriptive analysis (QDA) and temporal dominance of sensations (TDS) were applied to four brands of bottled mineral water and the liking of the products was evaluated by consumers.

Findings

The dissolved mineral concentration is highly correlated to the liking and influences the sensory profile of the samples in a substantial way. The higher the mineral content, the lowest is the liking. Refreshing, residual plastic taste, musty, metallic taste, medicine taste and viscosity were relevant attributes to the samples differentiation through the static evaluation, while refreshing and viscosity were dominant in the dynamic monitoring. Some information might have been lost by the nature of the TDS method, based on dominance concept. Sweet taste contributed positively and musty taste negatively to the acceptance.

Originality/value

This paper demonstrated that TDS can be used as a complementary tool to the QDA, contributing to a deeper comprehension of the differences among samples, even in products with low differences, such as bottled mineral water.

Details

British Food Journal, vol. 120 no. 7
Type: Research Article
ISSN: 0007-070X

Keywords

Article
Publication date: 6 February 2017

Karina Scatolino Mesquita, Vanessa Rios de Souza, Jéssica Ferreira Rodrigues, Camila Carvalho Menezes, Soraia Vilela Borges, João de Deus Souza Carneiro and Ana Carla Marques Pinheiro

People are increasingly concerned about food and health and seek for functional and sugar-free products. However, there are technological challenges when adding functional…

Abstract

Purpose

People are increasingly concerned about food and health and seek for functional and sugar-free products. However, there are technological challenges when adding functional components and substituting sugar in foods. Thus, the purpose of this paper is to evaluate the influence of packaging and storage time on the sensory profile of functional diet guava preserve added with prebiotics, supporting the development of functional and sugar-free products and contributing to the product variety in the market.

Design/methodology/approach

A two-factor full factorial design was conducted in triplications that evaluated transparent and opaque packaging vs storage time (six months). The products were stored in packages with different light permeability (transparent and opaque). Quantitative descriptive analysis (QDA) and acceptance tests were performed.

Findings

The packaging material did not affect the sensory changes of functional diet guava preserve during the six months of storage. QDA test showed that from three months of storage the original characteristics of the product were lost and a slight decrease in overall acceptance was observed after four and six months. However, during the six months the products had good acceptance; consequently, it was not possible to establish their rejection before this period.

Research limitations/implications

More detailed studies regarding a longer storage period, including the physical and chemical measurements must be done to clarify other points about the influence of packaging and storage time on the sensory profile of functional diet guava preserve added with prebiotics. Therefore, researchers are encouraged to test the proposed propositions further.

Practical implications

The development of a functional and sugar-free preserve is a good alternative to provide a product that meets the actual consumer desires and adds value to the product. However, there are technological challenges when adding functional components and substituting sugar in foods. Thus, this study provides important information for the development of sugar-free and functional products, and to prolong their shelf life.

Originality/value

There are few studies with respect to the sensory aspects during the storage of functional preserves. Thus, this work will aid future studies, supporting the development of functional and sugar-free products and contributing to the product variety in the market.

Details

British Food Journal, vol. 119 no. 2
Type: Research Article
ISSN: 0007-070X

Keywords

Content available
Article
Publication date: 5 May 2015

Anthony Watt

227

Abstract

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Qualitative Research Journal, vol. 15 no. 2
Type: Research Article
ISSN: 1443-9883

Open Access
Article
Publication date: 8 November 2022

Majid Asadnabizadeh

The purpose of this study is to assess how intergovernmental panel on climate change’s (IPCC’s) sixth assessment report of Working Group I (WGI), a Summary for…

Abstract

Purpose

The purpose of this study is to assess how intergovernmental panel on climate change’s (IPCC’s) sixth assessment report of Working Group I (WGI), a Summary for Policymakers (SPM), has evaluated the current climate change situation. The author uses the qualitative content analysis (QCA) method (i.e. summative content analysis [SCA]) to identify critical points of the SPM.

Design/methodology/approach

To better understand the WGI report and its SPM, the author uses the thematic analysis, often called the QCA method. This study takes more steps and uses one of the main qualitative content analysis approaches (i.e. SCA). Therefore, QCA (SCA) can help the author count the occurrence of certain words using computer-assisted qualitative data analysis software that quantifies the words in the data. This process helps the author to understand codes and patterns (e.g. the concept in the results section).

Findings

Interestingly, the AR6 says more about adaptation for policy makers in sections C (Climate information for risk assessment) and D (Mitigation of future climate change) than in sections A and D. Finally, this study concludes that the IPCC WGI SPM has addressed evidence on global climate change policymaking for SPMa, SPMd (mitigation-based strategies and mitigation policy [MP]) and SPMb, SPMc (adaptation policy and adaptation-based strategy).

Research limitations/implications

First, this study refers only to the contribution of WGI, a SPM. The findings of this study do not necessarily provide a full understanding of what the AR6 WGI SPM says about climate change. It points out that the QDA Miner software and Voyant tool do not include all variables and examples where mitigation and adaptation-based strategies are discussed. The guidance for coding is based on the approved version of IPCC AR6 WGI SPM. The final limitation is that the relatedness of key words (e.g. confidence, high and warming) is sometimes ambiguous; even experts may disagree on how the words are linked to form a concept. Thus, this method works at the keyword level. A more intelligent method would use more meaningful information than keywords.

Originality/value

This study used qualitative data analysis (SCA) to explore what was said about climate change in four sections of the IPCC AR6 WGI SPM, which may influence current and future global climate change policymaking.

Details

International Journal of Climate Change Strategies and Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1756-8692

Keywords

Book part
Publication date: 18 July 2022

Yakub Kayode Saheed, Usman Ahmad Baba and Mustafa Ayobami Raji

Purpose: This chapter aims to examine machine learning (ML) models for predicting credit card fraud (CCF).Need for the study: With the advance of technology, the world is…

Abstract

Purpose: This chapter aims to examine machine learning (ML) models for predicting credit card fraud (CCF).

Need for the study: With the advance of technology, the world is increasingly relying on credit cards rather than cash in daily life. This creates a slew of new opportunities for fraudulent individuals to abuse these cards. As of December 2020, global card losses reached $28.65billion, up 2.9% from $27.85 billion in 2018, according to the Nilson 2019 research. To safeguard the safety of credit card users, the credit card issuer should include a service that protects customers from potential risks. CCF has become a severe threat as internet buying has grown. To this goal, various studies in the field of automatic and real-time fraud detection are required. Due to their advantageous properties, the most recent ones employ a variety of ML algorithms and techniques to construct a well-fitting model to detect fraudulent transactions. When it comes to recognising credit card risk is huge and high-dimensional data, feature selection (FS) is critical for improving classification accuracy and fraud detection.

Methodology/design/approach: The objectives of this chapter are to construct a new model for credit card fraud detection (CCFD) based on principal component analysis (PCA) for FS and using supervised ML techniques such as K-nearest neighbour (KNN), ridge classifier, gradient boosting, quadratic discriminant analysis, AdaBoost, and random forest for classification of fraudulent and legitimate transactions. When compared to earlier experiments, the suggested approach demonstrates a high capacity for detecting fraudulent transactions. To be more precise, our model’s resilience is constructed by integrating the power of PCA for determining the most useful predictive features. The experimental analysis was performed on German credit card and Taiwan credit card data sets.

Findings: The experimental findings revealed that the KNN achieved an accuracy of 96.29%, recall of 100%, and precision of 96.29%, which is the best performing model on the German data set. While the ridge classifier was the best performing model on Taiwan Credit data with an accuracy of 81.75%, recall of 34.89, and precision of 66.61%.

Practical implications: The poor performance of the models on the Taiwan data revealed that it is an imbalanced credit card data set. The comparison of our proposed models with state-of-the-art credit card ML models showed that our results were competitive.

Article
Publication date: 14 June 2022

Annie Singla and Rajat Agrawal

This study aims to investigate barriers and enablers of social media usage by zooming on one specific type of domain: disaster management. First, by systematically…

Abstract

Purpose

This study aims to investigate barriers and enablers of social media usage by zooming on one specific type of domain: disaster management. First, by systematically reviewing previous studies using a typology to social media usage, this study identifies the challenges often faced. Second, the results are visualized by qualitatively analyzing the focus group discussion data.

Design/methodology/approach

This paper opted for an inductive thematic approach of grounded theory, including focus group discussion with ten participants from diverse backgrounds working in the disaster domain. The data is transcribed verbatim and coded using Atlas.ti software.

Findings

The findings suggest that the vogue of social media significantly ascends its usage in disaster management. Regulatory, software, physical, authenticity, cultural and demographic rose as challenges for social media usage in disaster management. Findings further indicate enablers as the rise in mobile penetration, democratic participation, increase in living standards, two-way real-time communication, global reach, expeditious decision-making, no space-time constraint and cheaper source of information. Social media, compared to traditional media, is explored. This study has practical implications in helping authorities understand the barriers and enablers for social media usage in disaster management.

Originality/value

Qualitative data analysis of social media usage for disaster management has received scant attention. The main takeaway of this research is to offer clear findings of the purview of social media usage for disaster management. It demonstrates the challenges and enablers of disaster management using social media in the Indian context. Results indicate that leveraging social media for disaster management can extend decision-making for effective disaster management.

Details

Global Knowledge, Memory and Communication, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2514-9342

Keywords

Article
Publication date: 1 May 1997

Lee D. Parker and Bet H. Roffey

Restates the case for accounting and management research from a grounded theory perspective, and advocates its informed and more frequent application. Examines the…

4535

Abstract

Restates the case for accounting and management research from a grounded theory perspective, and advocates its informed and more frequent application. Examines the intellectual foundations and key tenets of grounded theory in the context of researchers’ theoretical assumptions and methodological characteristics, discussed in relation to Laughlin’s (1995) classification schema. Pays particular attention to grounded theory assumptions and methods in relation to other interpretive paradigms such as symbolic interactionism, ethnomethodology and hermeneutics. Describes the basic principles and methods of grounded theory research, and presents potential applications to the accounting and management research arenas. Argues that rigorous grounded theory research can offer the accounting and management literatures unique understandings that provide additional perspectives to those already being offered by major schools of thought, and discusses implications of grounded theory for informing contemporary professional practice.

Details

Accounting, Auditing & Accountability Journal, vol. 10 no. 2
Type: Research Article
ISSN: 0951-3574

Keywords

Article
Publication date: 17 May 2011

A.C. Viana, E. Teshima, A.C.S.D. Chaves and M.E.O. Mamede

The objective of this study is to evaluate the quality of Coalho cheese produced using two different strains of Lactococcus spp. that were isolated from artisanal Coalho…

Abstract

Purpose

The objective of this study is to evaluate the quality of Coalho cheese produced using two different strains of Lactococcus spp. that were isolated from artisanal Coalho cheese in Bahia, Brazil.

Design/methodology/approach

Three different batches of cheeses were produced using lactic acid Lactococcus spp. strains named “LA‐02”, “RE‐02” and “Blend” (LA‐02 plus RE‐02). To study the quality of these products the paper uses quantitative descriptive analysis (QDA), a test of acceptability and an analysis of physical‐chemical parameters.

Findings

For the flavor attribute, the highest acceptabilities were for LA‐02 (7.38) and Blend (6.92). The panelists found that 13 attributes were important to describe Coalho cheese. The Blend cheese was characterized by its yellow color, hardness, consistency, chewiness, typical Coalho cheese aroma and flavor. The LA‐02 cheese was characterized by its acid flavor, homogeneity and softness. All the samples analyzed showed values of moisture and fat that were in line with Brazilian legislation.

Practical implications

Coalho cheese is a typical Brazilian artisanal cheese that is normally produced with raw milk, even though legislation does not allow this. Pasteurization of the milk used to produce cheeses guarantees the microbiological safety of the product and, in this case, the cheese needs the addition of lactic acid bacteria in order to improve the sensorial quality and to give typical characteristics.

Originality/value

Coalho cheese, as produced in the artisanal form, is widely appreciated for its sensorial characteristics. The Coalho cheese proposed in this research retains the typical sensory characteristics by using different strains of Lactococcus spp. that were isolated from artisanal Coalho cheese but according to the specification of good manufacturing practices (GMP).

Details

British Food Journal, vol. 113 no. 5
Type: Research Article
ISSN: 0007-070X

Keywords

Article
Publication date: 17 July 2009

Raj Arora and Charles Stoner

This paper aims to use a mixed method (qualitative and quantitative) approach to exploring product personality. It also aims to focus on the personality dimensions of two…

13478

Abstract

Purpose

This paper aims to use a mixed method (qualitative and quantitative) approach to exploring product personality. It also aims to focus on the personality dimensions of two retails stores (Target and Wal‐Mart) and two athletic brands (Adidas and Nike). While personality has been investigated in marketing settings, the focus has been limited to using quantitative scales. This approach has the potential of leaving out rich details of personality not captured by the scale, thereby offering little helpful information for advertising copy writers. While qualitative approaches may lack the formal test of hypotheses, they afford rich narrative that adds important insights about the products and practical help for advertising development.

Design/methodology/approach

The study is based on a concurrent, two‐studies design where qualitative and quantitative data are both collected and analyzed separately (concurrently or sequentially). A survey is used to measure the personality dimensions based on Aaker's five personality dimensions. In addition, various personality dimensions are explored using in‐depth, one‐to‐one interviews; grounded theory framework; and QDA software that is especially suitable for text analysis.

Findings

The findings reveal lack of convergence in personality dimensions. While full convergence is not expected due to method and sample characteristics, the findings revealed important dimensions that appeared only in either the qualitative or quantitative analysis. For example, the attributes of competence, sophistication, and ruggedness failed to emerge in the qualitative analyses.

Research limitations/ implications

Caution is advised in extrapolating the results beyond the issues investigated in the study.

Practical implications

The findings help marketers in formulating effective product design, positioning, and promotion strategies.

Originality/value

Most of the research on the subject of personality has been designed around Aaker's five dimensions of personality. There has been some variation to the instrument to capture dimensions such as nurturance, and integrity, ruggedness, and sophistication. However, there is a void in qualitative research that is oriented towards discovering (rather than testing) the dimensions of personality. This paper uses qualitative research methodology, specifically a grounded theory framework, to discover the personality of products, and to compare these outcomes with Aaker's five‐dimensional scale.

Details

Journal of Product & Brand Management, vol. 18 no. 4
Type: Research Article
ISSN: 1061-0421

Keywords

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