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1 – 10 of over 30000Jane Hughes, Saima Ahmed, Paul Clarkson, Sue Davies, Karen Stewart and David Challis
It was hypothesised that there were variations in health and social care services available for older people with dementia and their carers, and that measurement of this between…
Abstract
Purpose
It was hypothesised that there were variations in health and social care services available for older people with dementia and their carers, and that measurement of this between localities was possible. The purpose of this paper is to present a framework for examining this.
Design/methodology/approach
Using a case study approach, data from national surveys of local authorities providing social care and National Health Services Trusts providing old age mental health services conducted in 2014/2015 in England were used. From these, indicators of variation in services for people with dementia and their carers in different geographical areas were created. Measurement of the presence/absence of each service permitted the creation of a service mix score for each area.
Findings
The framework comprised 16 attributes each with indicators describing the characteristics of the organisations providing the services; the skill mix of community mental health teams for older people; and the health care and social care services available in localities. Variation was evident, confirmed by quartile analysis and exemplars, suggesting that older people with dementia and their carers in different localities are likely to experience differences in the range of provision available, particularly social care services.
Originality/value
The case study approach used achieved its objectives, and the resultant framework has potential for generalisability and utility, given acceptable ecological validity and discriminant validity in identifying variations in service mix. It could be used in both research and practice.
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Many commodity supply chains suffer from an unfair value distribution across the supply chain like “Coffee Paradox.” This study explores the coffee supply chain to determine how…
Abstract
Purpose
Many commodity supply chains suffer from an unfair value distribution across the supply chain like “Coffee Paradox.” This study explores the coffee supply chain to determine how the country of origin–geographical indicator can be used as a method of fair distribution of value and provenance across the supply chain effectuated by the blockchain technology. By looking at an exemplar case study for India, this study provides insights into diverse research streams and practice.
Design/methodology/approach
Based on the case method, analyzing the implementation of blockchain in the coffee industry by a leading Indian software implementation of the logic, dynamics and forces for a provenance model has been devised. It further adopts a stakeholder cum institutional theory framework to understand the logical implementation of a blockchain project embedded in a territorial logic for a commodity supply chain.
Findings
This study specifically looks at coffee which is representative of a commodity supply chain. It also explores how the malaise of unfair value distribution gets addressed by bringing farmers and the consumers on a common platform facilitated by blockchain technology. This study contributes to the literature on blockchain, territory, commodity and supply chain. Using stakeholder cum institutional theory, this study helps to explore how the implementation is successful by different actors in the supply chain through collaboration.
Research limitations/implications
This study provides a new stream of multi-disciplinary study at the interface of supply chain, technology, international trade and geography.
Practical implications
Blockchains are embedded in the supply chain, and supply chains are embedded in territories. This linkage is paramount and the ability to make these blockchain projects successful requires the deep study of the interaction of territory, technology and actors from the provenance angle. De-commodification of coffee can be actualized through blockchain.
Social implications
The coffee paradox and skewed value distribution is also a social problem wherein the farmers do not get the right price of their produce and are exploited. This case also highlights how this social malaise can be addressed and rightful and equitable distribution of value happens across the value chain.
Originality/value
This linkage between territory, blockchain, commodity supply chain and institutions has not been discussed in the literature. Adopting the territorial design approach, this study is an attempt to stimulate inter-disciplinary conversations and thereby create a provenance framework for commodity and research questions for scholars from different disciplines and divergent disciplinary perspectives.
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The purpose of this study is to assess the nexus between the vast dimensions of financial inclusion and economic development of the emerging Indian economy.
Abstract
Purpose
The purpose of this study is to assess the nexus between the vast dimensions of financial inclusion and economic development of the emerging Indian economy.
Design/methodology/approach
In this study, vector auto-regression (VAR) models and Granger causality test were followed to test the main research question in Indian context. The data were collected on various dimensions of financial inclusion and economic development for the period 2004-2013.
Findings
Empirical results and discussion suggest that there is a positive association between economic growth and various dimensions of financial inclusion, specifically banking penetration, availability of banking services and usage of banking services in terms of deposits. Granger causality analysis reveals a bi-directional causality between geographic outreach and economic development and a unidirectional causality between the number of deposits/loan accounts and gross domestic product. The results obtained favor social banking experiments in India with a deepening of banking institutions.
Research limitations/implications
This study is limited to the banking institutions and specifically to the emerging and developing economies.
Practical implications
This study analyzes the quantitative value of social banking experiments and governments’ efforts to enhance financial inclusion in terms of economic growth.
Social implications
Financial inclusion plays a key role in developing a strong and an efficient financial infrastructure, which facilitates the growth of an economy. The findings of the study reveal that there is a strong association between banking penetration and growth. The discussion leads in the favor of deepening of the banking institutions, and therefore, policymakers can look forward to these findings to maintain a sustainable-inclusive-developed economic system in an emerging economy like India.
Originality/value
This study is original in nature and includes recent evidence and efforts to promote financial inclusion in the Indian economy. The findings of this study will be of value to banks and policymakers.
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To implement a risk-based regulatory approach, this paper aims to make an assessment on customers' money laundering risk and conducts some applications.
Abstract
Purpose
To implement a risk-based regulatory approach, this paper aims to make an assessment on customers' money laundering risk and conducts some applications.
Design/methodology/approach
During the transition of a regulatory approach from “rule-based” to “risk-based”, this paper considers that the area of a customer, types of business and the industries to which the customer belongs are the main indicators to judge money laundering risk of a customer. Based on the statistical analysis of 221 typical money laundering cases, first-class index weights are given by using the entropy weight method and then by combining with the membership function, this paper determines a customer’s money laundering risk levels. On the basis of the entropy weight method, this paper uses the C5.0 algorithm to construct a decision tree model and then carries out application research on customer money laundering risk assessment to verify the effectiveness of the entropy weight method and the decision tree model.
Findings
This empirical research found the weights of three key money laundering indicators: customer areas, business types and corresponding industries.
Originality/value
Asserting that current money laundering risk assessments of customers are marginal at best, this paper contends from the perspective of practice, and applies the entropy weight method and the decision tree model for money laundering risk assessment of customers.
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Wang Yabin and Jiagui Li
The purpose of this paper is to explore China’s online wine market segmentation on the basis of the wine-related lifestyle (WRL). Moreover, this study can provide further…
Abstract
Purpose
The purpose of this paper is to explore China’s online wine market segmentation on the basis of the wine-related lifestyle (WRL). Moreover, this study can provide further understanding and reference about China’s wine market segmentation research, which is limited at present. This work can be helpful for those who want to do further research in the Chinese wine market. It is good for wine importers wanting to import wine to China to understand the Chinese wine consumers.
Design/methodology/approach
Survey data were obtained from a sample of 3,369 participants through cooperation between the College of Enology and the Yesmywine.com website. Questionnaire items included gender, age, area distribution, unit price, bottles consumed, drinking frequency, drinking time, wine-related knowledge, etc. Combined with the influence factors of the WRL, a structural equation model was developed. The data analysis, particularly employing principal component analysis, enabled the identification of five market segments.
Findings
Five distinct segments were identified within the wine market and designated as follows: wine official consumption type enthusiastic fancier; enjoyment consumption; fashionable consumption; and new, young wine drinkers.
Research limitations/implications
The research data were derived from Yesmywine, one of the largest online wine sale platforms. However, the impact of yesmywine is much smaller compared with Tmall and Taobao and Jingdong. In this paper, we can see that WRL is increasingly becoming a part of Chinese people’s daily lives, especially for the enthusiastic and fancier wine consumers, which is the official type of wine consumer. Next, an analysis of time series under the data of the near future years should be conducted to find the online wine segmentation market variation trend. Moreover, it is important to conduct cross-culture comparison between the Chinese and Australians. Brand positioning can be improved by better understanding China’s online wine market segmentation.
Practical implications
WRL segmentation is valuable for the wine importers and producers in west France, Italian, Germany and so on, as they want to develop China’s wine market and understand the mindset of Chinese wine consumers. The wine importers in China should focus more on consumers that enjoy wine along with newer and younger wine drinkers.
Originality/value
This paper analyzes a large sample (3,369) and therefore is useful for understanding online wine market segmentation and wine consumption behavior in China owing to China’s limited wine market segmentation literature. This paper is the first to use WRL tool to segment China’s online wine market. Moreover, the research data have reference value for those who want to learn more about China’s online wine market, as yesmywine is one of the largest online wine-sale platforms. It also gives some managerial implications for wineries and wine marketers that will be helpful to wine companies in understanding the emerging Chinese wine market and in enacting wine marketing strategies more effectively.
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Igor Bukharov and Svetlana Berezka
This paper aims to highlight the role of tourist gastronomy experiences and the possible contribution of the local gastronomy to a tourist destination’s attractiveness and…
Abstract
Purpose
This paper aims to highlight the role of tourist gastronomy experiences and the possible contribution of the local gastronomy to a tourist destination’s attractiveness and competitiveness.
Design/methodology/approach
The paper proposes a conceptual framework for understanding the role of local gastronomy in destination attractiveness and competitiveness. It is based on an analysis of a case study of Russian experiences in developing a gastronomy value proposition for tourists.
Findings
The paper indicates the potential for a gastronomy value proposition, as this is important to tourists and it makes a positive contribution to destination’s attractiveness. The paper also reveals some challenges in the Russian hospitality market from a gastronomy perspective.
Practical implications
Several recommendations are presented in support of the creation of a gastronomy value proposition based on regional culinary heritage and local food products specifics.
Originality/value
The paper provides insights on the role of a given destination’s gastronomy in tourism development in Russia. The study also contributes to the literature on emerging markets by providing an overview of the main challenges for gastronomy in the Russian hospitality market.
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Shawn Hezron Charles, Alice Chang-Richards and Tak Wing Yiu
This paper aims to investigate the emergence of new success measures for buildings and infrastructure post-disaster reconstruction projects, beyond the traditional ”iron…
Abstract
Purpose
This paper aims to investigate the emergence of new success measures for buildings and infrastructure post-disaster reconstruction projects, beyond the traditional ”iron triangle”, which have gained prominence with the increased involvement of clients and end-users in these projects. Consequently, the industry is obliged to reconsider the critical factors regarding what constitutes a successful outcome from the perspectives of these stakeholders.
Design/methodology/approach
Data was gathered from end-users in four Caribbean islands using a questionnaire survey on eight empirical success indicators obtained from an extensive systematic literature review. To elicit a ranking and correlations amongst the end-user’ perspectives on the indicators, factor analysis and structural equation modelling techniques (SEM) were conducted.
Findings
The factor analysis found “safety” to be the most important empirical success measure, while “change” ranked the least important. Correlation analysis using SEM identified two new composite indicators, namely, “competence” with delivering timely and quality environmentally friendly and sustainable projects and “adaptability” in ensuring project objectives reflect beneficiaries’ expectations amidst internal and external influences, to be critical of end-users’ measurement indicators that describe their assessment mechanism. Measurement and structural models validated “safety” and “satisfaction” to be the highest loading variables in the two composites, respectively.
Research limitations/implications
The research focussed on findings in English language articles; therefore, any claim to a complete list of indicators from the literature can be amiss.
Practical implications
Results confirm the traditional “iron triangle” of time, cost and quality to be limited in assessing reconstruction project outcomes and the views and expectations of the potential beneficiaries need to be factored in the planning, design, execution and post-handover stages in all reconstruction projects.
Originality/value
This paper was very specific in its attempt to investigate new success indicators for reconstruction project outcomes, aiming to assist with developing comprehensive project objectives that resonate with all stakeholder groups.
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Tariq Ahmad Mir, R. Gopinathan and D.P. Priyadarshi Joshi
This study aims to analyze the long-run dynamic relationship between financial inclusion and economic growth for developing nations.
Abstract
Purpose
This study aims to analyze the long-run dynamic relationship between financial inclusion and economic growth for developing nations.
Design/methodology/approach
This study develops a comprehensive financial inclusion index based on the UNDP methodology for 53 developing nations. The authors use second-generation unit root tests, cointegration techniques and an advanced dynamic common correlated effects estimator model called cross-sectional augmented autoregressive distributed lags (CS-ARDL) to examine long-run dynamics among variables.
Findings
The tests confirm the presence of slope-heterogeneity and cross-sectional dependency. The second-generation panel unit root tests show the chosen variables are stationary at first difference. The bootstrap Westerlund cointegration result shows the variables are cointegrated in the long run. The CS-ARDL estimates conclude that financial inclusion positively enhances gross domestic product per capita in selected developing countries. The robustness check through augmented mean group estimation validates the findings.
Originality/value
The study makes three important contributions: first, it constructs a comprehensive financial inclusion index using 10 variables for a panel of 53 developing nations; second, the potential cross-section dependence and slope heterogeneity of panel data have been accounted for by applying the second-generation unit root tests; third, the study uses the dynamic common correlated effects estimator model (CS-ARDL) to examine long-run dynamics among variables.
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Kenneth Fu Xian Ho, Fang Liu and Liudmila Tarabashkina
The effects of country-of-origin (COO) cues on product evaluations are well documented. However, research on the relative effects of COO compared to other geographical indicators…
Abstract
Purpose
The effects of country-of-origin (COO) cues on product evaluations are well documented. However, research on the relative effects of COO compared to other geographical indicators, such as region-of-origin (ROO), on food purchases is still limited. This study investigates how geographical origin labels influence consumers' perceptions of product value and authenticity of foreign food, as well as subsequent purchase intention (PI) and willingness to pay premium prices (WTPPP). The moderating role of health consciousness on these relationships is also examined due to the coronavirus disease 2019 (COVID-19) pandemic.
Design/methodology/approach
This study uses a between-subjects experimental design conducted with 300 middle- and high-income Chinese consumers aged between 25 and 50 years. Hypotheses were tested using structural equation modelling.
Findings
Whilst under both COO and ROO cues, all five product values positively influenced consumers' WTPPP, only functional, economic and novelty values influenced PI. The ROO cue performed significantly better than the COO cue in eliciting functional, economic and novelty value perceptions, which triggered stronger PI and willingness to pay a premium price. These relationships were mediated by product authenticity (PA) and moderated by consumers' health consciousness (HC).
Practical implications
Because food labels provide salient product information that facilitates consumers' evaluation of products, marketers should assess which product value perceptions they wish to enhance and then choose the appropriate geographical indicators for their labelling strategies.
Originality/value
This study identifies the effects of COO and ROO cues on product values, authenticity, PI and WTPPP. It also provides valuable insights into the role of HC on consumers' purchase decisions, which also aids in understanding the impact of global crises on food purchases.
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Theories on international trade and investment as well as those relating the nature of the product to the length of the channel suggest that mode of entry decisions should result…
Abstract
Theories on international trade and investment as well as those relating the nature of the product to the length of the channel suggest that mode of entry decisions should result from the analysis of a wide variety of factors. The purpose of this article is to show how such theories might be related to practice through the development of decision support tools. Emphasis is given to a microcomputer software package developed to aid international mode of entry assessment.