Arzu Seçer, Fikriye Yazar and Mutlu Bulut
This study aims to reveal consumers' internal and external motivations to prefer online food shopping. The paper proposes an integrated model including aspirations, capabilities…
Abstract
Purpose
This study aims to reveal consumers' internal and external motivations to prefer online food shopping. The paper proposes an integrated model including aspirations, capabilities, subjective norms (divided into online resources and offline resources), perceived value and traditionalism to examine their effects on consumers' intention to do online food shopping.
Design/methodology/approach
A cross–sectional design was used to understand which factors affect consumers' intention to do online food shopping. The data were collected from a total of 400 people via an online survey. The conceptual model was tested using structural equational modeling to understand the relationships between the factors.
Findings
The results suggest that the conceptual framework can be used to have a better understanding of consumers' internal and external motivations to do online food shopping. The study proves that aspirations have a considerable direct effect on and a mediating role between capabilities, subjective norms from online resources, traditionalism and the effect of COVID-19 pandemics and the intention. Also, traditionalism was found to be an antecedent for consumers to prefer online food shopping.
Practical implications
This study reveals better insights for the sellers, marketers and system providers dealing with supplying food products through online channels. The findings suggest that the stakeholders take into consideration aspirations, capabilities, subjective norms, perceived value and traditionalism to organize their activities in food marketing in the online area.
Originality/value
In this study, aspirations–capabilities framework was adopted and confirmed within consumers' online food shopping domain. Also, it was proved that traditionalism was a driver of individuals' intention to do online shopping for food products.
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Yusuf Dinc, Mehmet Çetin, Mehmet Bulut and Rashed Jahangir
This study aims to develop a valid and reliable Islamic financial literacy (IFL) scale that can capture all the segments of the Islamic financial sectors and which could be…
Abstract
Purpose
This study aims to develop a valid and reliable Islamic financial literacy (IFL) scale that can capture all the segments of the Islamic financial sectors and which could be considered applicable for all jurisdictions across the globe.
Design/methodology/approach
To build the measure, this study followed a scale development process by collecting 698 a priori items from 81 respondents. Later, it generated an item pool through the analysis of the items with experts and gave the last form (40 items) to 287 respondents in Turkey with another IFL scale that is frequently used in the literature and a scale assessing religiosity. With explanatory factor analysis, the scale demonstrates a four-factor construct with 20 items. This construct provides good fit indexes and reliability scores.
Findings
Results of the correlation analysis and comparison of the fit indexes of alternative structures provided supportive evidence for discriminant and convergent validity of the scale and its sub-dimensions. As a result, an applicable scale is developed for countries where Islamic financial institutions are operating and where they are not.
Originality/value
One of the strengths of this study is that it represents a comprehensive scale development for the entire Islamic financial system, including banking, takāful (Islamic insurance) and fund management. In addition, the attempt to design an IFL scale applicable to any economy or individual is a pioneering attempt in the literature.
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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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Research limitations/implications
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.
Practical implications
Islamic banks and microfinance institutions' further engagement in the agricultural sector and ACCU's implementation of Islamic finance instruments.
Social implications
Islamic banks' further diversification in the agricultural sector and ACCU's implementation of Islamic finance instruments.
Originality/value
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.
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Nurul Shahnaz Mahdzan, Rozaimah Zainudin, Wan Marhaini Wan Ahmad and Mohamed Hisham Hanifa
In a dual financial system where both conventional and Islamic financial institutions co-exist, the motives behind customers’ choices of financial products remain a crucial factor…
Abstract
Purpose
In a dual financial system where both conventional and Islamic financial institutions co-exist, the motives behind customers’ choices of financial products remain a crucial factor to comprehend. Thus, this paper aims to examine the influence of Islamic financial literacy (IFL) and motives (religious, ethical and economic) on the holdings of Islamic financial products (IFPs).
Design/methodology/approach
The sample consists of 234 bank customers in Klang Valley, Malaysia, with data obtained through a convenience sampling method. The instrument used was a digital survey that was electronically sent to respondents.
Findings
Findings reveal that IFL and religious motives positively influence IFPs, whereas economic motives negatively influence IFPs. Ethical motives have no significant impact on IFPs.
Research limitations/implications
The findings imply that IFPs attract customers due to their adherence to Islamic teachings, indicating strong religious motives. However, the negative leanings of the economic motive suggest that customers may perceive IFPs as less favourable due to higher costs and risks relative to conventional products. Islamic financial institutions must widen their efforts in educating the public regarding IFPs on the benefits of adherence to Shariah principles and at the same time improve their products’ cost-benefits.
Originality/value
This study contributes to the literature by comprehensively examining IFPs in terms of both assets and financing products. In addition, IFL is measured in an all-inclusive way, covering different dimensions of knowledge related to Islamic savings, investments, protection and financing.
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Selcen Ozturkcan, Nihat Kasap, Muge Cevik and Tauhid Zaman
Twitter usage during Gezi Park Protests, a significant large-scale connective action, is analyzed to reveal meaningful findings on individual and group tweeting characteristics…
Abstract
Purpose
Twitter usage during Gezi Park Protests, a significant large-scale connective action, is analyzed to reveal meaningful findings on individual and group tweeting characteristics. Subsequent to the Arab Spring in terms of its timing, the Gezi Park Protests began by the spread of news on construction plans to build a shopping mall at a public park in Taksim Square in Istanbul on May 26, 2013. Though started as a small-scale local protest, it emerged into a series of multi-regional social protests, also known as the Gezi Park demonstrations. The paper aims to discuss these issues.
Design/methodology/approach
The authors sought answers to three important research questions: whether Twitter usage is reflective of real life events, what Twitter is actually used for, and is Twitter usage contagious? The authors have collected streamed data from Twitter. As a research methodology, the authors followed social media analytics framework proposed by Fan and Gordon (2014), which included three consecutive processes; capturing, understanding, and presenting. An analysis of 54 million publicly available tweets and 3.5 million foursquare check-ins, which account to randomly selected 1 percent of all tweets and check-ins posted from Istanbul, Turkey between March and September 2013 are presented.
Findings
A perceived lack of sufficient media coverage on events taking place on the streets is believed to result in Turkish protestors’ use of Twitter as a medium to share and get information on ongoing and planned demonstrations, to learn the recent news, to participate in the debate, and to create local and global awareness.
Research limitations/implications
Data collection via streamed tweets comes with certain limitations. Twitter restricts data collection on publicly available tweets and only allows randomly selected 1 percent of all tweets posted from a specific region. Therefore, the authors’ data include only tweets of publicly available Twitter profiles. The generalizability of the findings should be regarded with concerning this limitation.
Practical implications
The authors conclude that Twitter was used mainly as a platform to exchange information to organize street demonstrations.
Originality/value
The authors conclude that Twitter usage reflected Street movements on a chronological level. Finally, the authors present that Twitter usage is contagious whereas tweeting is not necessarily.
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Bikesh Manandhar, Thanh-Canh Huynh, Pawan Kumar Bhattarai, Suchita Shrestha and Ananta Man Singh Pradhan
This research is aimed at preparing landslide susceptibility using spatial analysis and soft computing machine learning techniques based on convolutional neural networks (CNNs)…
Abstract
Purpose
This research is aimed at preparing landslide susceptibility using spatial analysis and soft computing machine learning techniques based on convolutional neural networks (CNNs), artificial neural networks (ANNs) and logistic regression (LR) models.
Design/methodology/approach
Using the Geographical Information System (GIS), a spatial database including topographic, hydrologic, geological and landuse data is created for the study area. The data are randomly divided between a training set (70%), a validation (10%) and a test set (20%).
Findings
The validation findings demonstrate that the CNN model (has an 89% success rate and an 84% prediction rate). The ANN model (with an 84% success rate and an 81% prediction rate) predicts landslides better than the LR model (with a success rate of 82% and a prediction rate of 79%). In comparison, the CNN proves to be more accurate than the logistic regression and is utilized for final susceptibility.
Research limitations/implications
Land cover data and geological data are limited in largescale, making it challenging to develop accurate and comprehensive susceptibility maps.
Practical implications
It helps to identify areas with a higher likelihood of experiencing landslides. This information is crucial for assessing the risk posed to human lives, infrastructure and properties in these areas. It allows authorities and stakeholders to prioritize risk management efforts and allocate resources more effectively.
Social implications
The social implications of a landslide susceptibility map are profound, as it provides vital information for disaster preparedness, risk mitigation and landuse planning. Communities can utilize these maps to identify vulnerable areas, implement zoning regulations and develop evacuation plans, ultimately safeguarding lives and property. Additionally, access to such information promotes public awareness and education about landslide risks, fostering a proactive approach to disaster management. However, reliance solely on these maps may also create a false sense of security, necessitating continuous updates and integration with other risk assessment measures to ensure effective disaster resilience strategies are in place.
Originality/value
Landslide susceptibility mapping provides a proactive approach to identifying areas at higher risk of landslides before any significant events occur. Researchers continually explore new data sources, modeling techniques and validation approaches, leading to a better understanding of landslide dynamics and susceptibility factors.