Search results

This study aims to empirically examine the impact of the price structure of two-sided markets on transaction volume and market share (MS) in the context of the Korean credit card industry. The Korean credit card market differs from those in the United States (U.S.) or Europe in terms of transaction structure (i.e. a three-party system in Korea vs a four-party system in the U.S. or Europe) and government policy. In addition to the merchant discount rate and the cardholder annual membership fee rate, the authors included and analyzed exogenous variables to eliminate any endogeneity. Based on the analysis results, the authors found that credit card usage performance (i.e. transaction volume) increases with an increase in the relative price ratio (merchant discount rate ÷ cardholder membership fee rate) paid by merchants and cardholders, provided that the total price (merchant discount rate + cardholder membership fee rate) paid by merchants and cardholders remains constant. Therefore, this study is the first to confirm that the Korean credit card market operated as the theoretical mechanism of a two-sided market during the analysis period. This effect can only be observed in specific cases such as the launch of the so-called “Chief Executive Officer(CEO)-designed card.” When a new CEO takes office in a credit card company and launches a “CEO-designed card,” there is a significant increase in not only card usage performance but MS as well owing to the price structure changes caused by expanding the benefits that customers derive from card use.

Purpose: This chapter proposes a number of measures for financial inclusion and financial exclusion.

Method: The author use ratio analysis and statistics to develop several indices of financial inclusion.

Findings: This chapter finds that there are several indices of financial inclusion that can contribute to inform policy making in the financial inclusion agenda.

Implications: The indices developed in this chapter can help policymakers toward designing better financial inclusion policies and can provide feedback and insight to policy makers to improve current financial inclusion policies.

Originality: The literature on financial inclusion and exclusion lacks a comprehensive index that measures the extent of financial inclusion and exclusion across countries. This chapter attempts to fill this gap by proposing some index or indicators of financial inclusion and exclusion.

Manufacturing managers as well as researchers suggest that reducing manufacturing lead time is essential for competing in world‐class manufacturing environments. To achieve world‐class manufacturing status, organizations implement a variety of programmes to decrease manufacturing lead time. Uses simulation to analyse the effect of purchased parts standardization on manufacturing lead time under the assumption of limited vendor delivery uncertainty. Creates a wide range of degrees of commonality based on three sets of multilevel product structures with the variations of end‐item demand and quantity usage. The statistical results indicate that: increased commonality lowers manufacturing lead time; a more informative commonality measure other than the well‐known degree of commonality index (DCI) is necessary to represent the actual commonality; and the distribution of purchased parts usage across different end items affects manufacturing lead time performance. The results provide important implications for both manufacturing and product design management.

The purpose of this paper is to examine the factors that influence farmers' preference for the use of Islamic banks in Turkey and to investigate their knowledge level and perception about Islamic finance.

Survey data used in this study is obtained by drawing a sample of 1902 farmers who are members of the Agricultural Credit Cooperatives Union (ACCU) from 37 provinces of Turkey. Pearson's Chi-square test is used to analyze the association between the demographic features of farmers, conventional bank usage and Islamic bank usage. Binary logistic regression model is used to estimate the factors influencing the preference for Islamic banks. Explanatory variables include knowledge on Islamic banking and finance, perception of compliance to religion, saving ability and cost concern along with the control variables of Islamic bank branch number in the region and age of respondent. Robustness check is conducted via alternative models using ordinary least squares (OLS) and logistic regression.

Less than 10% of the participant farmers use Islamic banks and 59% declare they know nothing about Islamic banking. Age, education level, income level, nonagricultural income level, saving ability, duration of working in agriculture, land size and region are significantly related to farmers' preference of using Islamic banks. Knowledge level, perception of religious compliance, saving ability and cost concern are statistically significant factors that influence the probability of using Islamic banks.

This study does not include the analysis of the relationship between being religious and using Islamic banks because questions related to the assessment of religious practice were excluded due to the ACCU's sensitivity to investigate personal beliefs. Therefore, future studies can expand the scope of this research by investigating religiousness. The sample is chosen from the ACCU members who are already benefiting from a formal source of credit; therefore, the results should not be attributed to all farmers.

Islamic banks and microfinance institutions' further engagement in the agricultural sector and ACCU's implementation of Islamic finance instruments.

Islamic banks' further diversification in the agricultural sector and ACCU's implementation of Islamic finance instruments.

To the best of the authors' knowledge, this paper is the first to investigate the farmers' perception and preference of Islamic banking in Turkey. The sample size of 1902 is much larger and geographically diversified compared to studies in agricultural finance. This study will be valuable for the agricultural finance empirical studies in Turkey as well as an important addition to the emerging literature on Islamic finance.

In recent years, it is imperative to establish the structure of manufacturing industry in the context of smart factory. Due to rising demand for exchange of information with various devices, and huge number of sensor nodes, the industrial wireless networks (IWNs) face network congestion and inefficient task scheduling. For this purpose, software-defined network (SDN) is the emerging technology for IWNs, which is integrated into cognitive industrial Internet of things for dynamic task scheduling in the context of industry 4.0.

In this paper, the authors present SDN based dynamic resource management and scheduling (DRMS) for effective devising of the resource utilization, scheduling, and hence successful transmission in a congested medium. Moreover, the earliest deadline first (EDF) algorithm is introduced in authors’ proposed work for the following criteria’s to reduce the congestion in the network and to optimize the packet loss.

The result shows that the proposed work improves the success ratio versus resource usage probability and number of nodes versus successful joint ratio. At last, the proposed method outperforms the existing myopic algorithms in terms of query response time, energy consumption and success ratio (packet delivery) versus number of increasing nodes, respectively.

The authors proposed a priority based scheduling between the devices and it is done by the EDF approach. Therefore, the proposed work reduces the network delay time and minimizes the overall energy efficiency.

There are a number of new techniques which have recently been developed for improving the design and economic justification of distribution facilities and management systems. These new techniques are important because they provide quantitative methods for handling the real‐life tradeoffs which are usually involved between storage, handling, transporting, information processing, and customer service. In essence, the objective of distribution management is to identify and implement these optimum tradeoffs so as to achieve maximum profit to the firm.

Social networking sites (SNSs) are gaining popularity in various areas. Library and information services also are attempting to utilize them for increasing the library user traffic. Considering the lack of SNS studies in academic library services and various SNS usage patterns according to user type, it is necessary to compare the usage patterns across different user groups. This paper thus aims to explore the usages of a SNS by different university users.

Data were collected through semi‐structured and open‐ended interviews conducted with undergraduates, graduates, and faculty members at Yonsei University in Seoul, South Korea. Data were analyzed according to the three groups (undergraduates, graduates, and faculty members) and within each group SNS user perception and use were examined across the three different user activity groups (active users, semi‐active users, and non‐active users).

The analyses indicated that the three groups of users demonstrated distinct patterns of SNS use. Although undergraduates used the profile service more than the community service, graduates used the community more than the profile service. Most faculty members were not active users. Six factors that affected these different usage patterns were identified: desire for expression, peer influences, familiarity with information technologies, sensitivity to privacy, nature of using the internet, and perception of the SNS.

A differentiated approach is necessary for SNS‐based academic library services.

The paper makes useful and initial suggestions for implementing SNS‐based library and information service in academic settings.

The research measures the diffusion of information and communication technologies (ICTs) and changes in skills in the UK during the 1980s. Using input‐output data and the Census of Population, the indicators are constructed according to 25 reclassified industrial divisions for the whole economy. These indicators show that accompanying the diffusion of ICTs there was a shift from motor skills (relatively decreasing) to cognitive skills (relatively increasing). Diffusion of ICT during the 1980s is captured through the amount of computer equipment usage. The skill changes are examined through multi‐faceted aspects: occupational change; educational improvement; increased female participation; and employment change by industry. The research sheds light on two issues analysed in relation to technological change and skills change: measurement of technological change should be considered as a complex pattern rather than a monotonically increasing pattern; and skill changes should be examined through multi‐faceted aspects rather than any single aspect.

The purpose of this paper is to present a new approach toward automatically visualizing Linked Open Data (LOD) through metadata analysis.

By focussing on the data within a LOD dataset, the authors can infer its structure in a much better way than current approaches, generating more intuitive models to progress toward visual representations.

With no technical knowledge required, focussing on metadata properties from a semantically annotated dataset could lead to automatically generated charts that allow to understand the dataset in an exploratory manner. Through interactive visualizations, users can navigate LOD sources using a natural approach, in order to save time and resources when dealing with an unknown resource for the first time.

This approach is suitable for available SPARQL endpoints and could be extended for resource description framework dumps loaded locally.

Most works dealing with LOD visualization are customized for a specific domain or dataset. This paper proposes a generic approach based on traditional data visualization and exploratory data analysis literature.

Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGS) launched in the year 2006, with the pursuit of the objective of removing poverty and unemployment and thus address the issue of financial inclusion. The performance of the programme across the states in India has not been uniform. The purpose of this study is to focus on the financial inclusiveness features associated with MGNREGS program across the selected districts in West Bengal in the years of recent past.

In this study, financial inclusion index has been developed by consideration of four indicators with the help of principal component method. Fixed effect regression model has been applied to explain the impact of relevant determinants on financial inclusion index.

It is observed that out of 19 districts, seven districts registered an increase in the value of the financial inclusion index in the year 2019 compared to that in the year 2013. The empirical analysis for identifying the determinants of overall inclusion reveals that factors like households having active job card, utilization of fund, amount of labour cost and number of works have significant influence on financial inclusion.

The study widely discussed how the scheme was helping in promoting financial inclusion by providing wage payment through banks and post offices accounts. The author has also tried to highlight some of the difficulties in accelerating the speed of financial inclusion when banks and post offices are used as a means for wage payment and finally provide remedial measures that could be taken to tackle these problems.