Khalid Arar and Mohanned Mustafa
The paper seeks to analyze the characteristics of higher education (HE) among Palestinian Arabs in Israel (PAI). It aims to indicate the main trends that have taken place in…
Abstract
Purpose
The paper seeks to analyze the characteristics of higher education (HE) among Palestinian Arabs in Israel (PAI). It aims to indicate the main trends that have taken place in higher education since the establishment of the State of Israel, especially in the last decade, and to examine the main factors that have hindered access to higher education for this minority group.
Design/methodology/approach
The study is based on a meta‐analysis of official statistics and other official documents, and on an analysis of relevant recent research studies.
Findings
The analysis shows that although there has been an increase in the numbers and percentages of PAI studying in Israeli HE institutes, especially for women, structural blocks still hinder their access to Israeli HE institutes, a situation exacerbated by their deficient preparation in secondary school. Their disproportionate under‐representation in the HE system reflects policies relating to power distribution and control in Israeli society.
Social implications
Policy favoring re‐distribution of power alongside affirmative action legislation could influence the structure of the HE system and improve PAI minority representation in Israeli HE institutes.
Originality/value
The paper indicates the need for affirmative action to increase the Palestinian minority population's access to higher education in Israel.
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Mustafa Tevfik Kartal, Serpil Kılıç Depren and Özer Depren
By considering the rapid and continuous increase of housing prices in Turkey recently, this study aims to examine the determinants of the residential property price index (RPPI)…
Abstract
Purpose
By considering the rapid and continuous increase of housing prices in Turkey recently, this study aims to examine the determinants of the residential property price index (RPPI). In this context, a total of 12 explanatory (3 macroeconomic, 8 markets and 1 pandemic) variables are included in the analysis. Moreover, the residential property price index for new dwellings (NRPPI) and the residential property price index for old dwellings (ORPPI) are considered for robustness checks.
Design/methodology/approach
A quantile regression (QR) model is used to examine the main determinants of RPPI in Turkey. A monthly time series data set for the period between January 2010 and October 2020 is included. Moreover, NRPPI and ORPPI are examined for robustness.
Findings
Predictions for RPPI, NRPPI and ORPPI are carried out separately at the country (Turkey) level. The results show that market variables are more important than macroeconomic variables; the pandemic and rent have the highest effect on the indices; The effects of the explanatory variables on housing prices do not change much from low to high levels, the COVID-19 pandemic and weighted average cost of funding have a decreasing effect on indices while other variables have an increasing effect in low quantiles; the pandemic and monetary policy indicators have a negative and significant effect in low quantiles whereas they are not effective in high quantiles; the results for RPPI, NRPPI and ORPPI are consistent and robust.
Research limitations/implications
The results of the study emphasize the importance of the pandemic, rent, monetary policy indicators and interest rates on the indices, respectively. On the other hand, focusing solely on Turkey and excluding global variables is the main limitation of this study. Therefore, the authors encourage researchers to work on other emerging countries by considering global variables. Hence, future studies may extend this study.
Practical implications
The COVID-19 pandemic and market variables are determined as influential variables on housing prices in Turkey whereas macroeconomic variables are not effective, which does not mean that macroeconomic variables can be fully ignored. Hence, the main priority should be on focusing on market variables by also considering the development in macroeconomic variables.
Social implications
Emerging countries can make housing prices stable and affordable, which will increase homeownership. Hence, they can benefit from stability in housing markets.
Originality/value
The QR method is performed for the first time to examine housing prices in Turkey at the country level according to the existing literature. The results obtained from the QR analysis and policy implications can also be used by other emerging countries that would like to increase homeownership to provide better living conditions to citizens by making housing prices stable and keeping them under control. Hence, countries can control housing prices and stimulate housing affordability for citizens.
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Temidayo Oluwasola Osunsanmi, Clinton Ohis Aigbavboa, Wellington Didibhuku Thwala and Ayodeji Emmanuel Oke
The idea of implementing supply chain management (SCM) principles for the construction industry was embraced by construction stakeholders to enhance the sector's performance. The…
Abstract
The idea of implementing supply chain management (SCM) principles for the construction industry was embraced by construction stakeholders to enhance the sector's performance. The analysis from the literature revealed that the implementation of SCM in the construction industry enhances the industry's value in terms of cost-saving, time savings, material management, risk management and others. The construction supply chain (CSC) can be managed using the pull or push system. This chapter also discusses the origin and proliferation of SCM into the construction industry. The chapter revealed that the concept of SCM has passed through five different eras: the creation era, the use of ERP, globalisation stage, specialisation stage and electronic stage. The findings from the literature revealed that we are presently in the fourth industrial revolution (4IR) era. At this stage, the SCM witnesses the adoption of technologies and principles driven by the 4IR. This chapter also revealed that the practice of SCM in the construction industry is centred around integration, collaboration, communication and the structure of the supply chain (SC). The forms and challenges hindering the adoption of these practices were also discussed extensively in this chapter.
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Kesavan Devarayan, Yazhiniyan Palanisamy, Gangeswar Mohan, Anand Theivasigamani, Sabariswaran Kandasamy, Vimaladevi Sekar, Evon Umesh Siluvai John, Monikandon Sukumaran, Ramar Marimuthu and Hema Anjappan
This study aims to develop a pH-functional thin-film sensor for non-invasive measurement of spoilage of packed fish.
Abstract
Purpose
This study aims to develop a pH-functional thin-film sensor for non-invasive measurement of spoilage of packed fish.
Design/methodology/approach
At first, polymers of natural origin such as hydroxy(propyl)methyl cellulose, potato dextrose agar and starch alongside a pH sensitive-mixed indicator formulation were used to produce thin film sensor. The developed thin film sensor was tested for monitoring the spoilage of seafood stored at 4°C. Using ultraviolet-visible and Fourier-transform infrared spectroscopy, the halochromic sensor was characterised. In addition, the halochromic response of the thin film was directly correlated to the total volatile base nitrogen emitted by the packaged fish, pH, microbial activity and sensory evaluation.
Findings
The results suggested the developed biopolymer-based thin film sensor showed different colours in line with the spoilage of the packed fish, which could be well correlated with the total volatile base nitrogen, microbial activity and sensory evaluation. In addition, the thin film sensors exhibited a high degree of biodegradability. The biopolymers-based thin film halochromic sensor has exhibited excellent biodegradability along with sensitiveness towards the spoilage of the packed fish.
Originality/value
In the future, consumers and retailers may prefer seafood containers equipped with such halochromic sensors to determine the degree of food deterioration as a direct indicator of food quality.
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Jin-Myong Lee and Hyo-Jung Kim
The purpose of this study is to investigate the determinants of consumers' intention to adopt or continue to use Internet-only banks based on the benefit–risk framework and…
Abstract
Purpose
The purpose of this study is to investigate the determinants of consumers' intention to adopt or continue to use Internet-only banks based on the benefit–risk framework and network externality theory. It also examines the difference in the determinants between pre- and postadoption stages of innovation.
Design/methodology/approach
The proposed research model was tested by using online survey data collected from a South Korean sample, which was divided into two subgroups of 321 nonadopters and 351 existing users.
Findings
In both pre- and postadoption stages, the number of services provided and trust had a significant positive impact on consumers' behavioral intentions, while security risks had a negative impact. Critical mass in the preadoption stage and convenience and economic efficiency in the postadoption stage had positive effects on consumer's adoption intention and continuance intention, respectively.
Practical implications
Internet-only banks must reduce the security risks for consumers and increase their trust. In addition, to facilitate the adoption of nonadopters, focus should be on securing a critical mass; on the other hand, to promote the continued use of existing users, the focus should be on enhancing benefits such as convenience and economic efficiency.
Originality/value
The results of this study confirm the influence of network externalities on consumers' adoption and use of financial technology services and show differences in consumer decision-making according to the innovation diffusion process.
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Mustafa Hattapoglu and Indrit Hoxha
This paper aims to use statistical analyses to understand the trends on housing liquidity and pricing by accounting for macroeconomic factors that vary at national level and at…
Abstract
Purpose
This paper aims to use statistical analyses to understand the trends on housing liquidity and pricing by accounting for macroeconomic factors that vary at national level and at metropolitan statistical area level for all metropolitan statistical areas in Texas. In addition, the authors test for seasonality in all the metropolitan statistical areas in Texas.
Design/methodology/approach
Using publicly available data from Zillow a listing website, the authors conduct an analysis of all housing markets at metropolitan statistical area level in Texas to understand the factors that drive the liquidity and pricing. The authors use two measures for liquidity, namely, time to sell the house and sales to list ratio. The authors also try to understand the decision to lower the price of the listed houses. In addition, the authors conduct a test for seasonality within the year in these housing markets.
Findings
The analyses conclude that there is a significant impact of listing prices, unemployment rates, 30-year mortgage rates, consumer sentiment and oil price changes on the liquidity of the housing markets and decisions of sellers to adjust the prices down. In addition, the authors provide evidence of the existence of seasonality in most metropolitan statistical areas in Texas both for pricing and volume of transactions.
Originality/value
This is the first study to look at housing liquidity and pricing trends for about 25 markets in Texas. In addition, the authors provide evidence of the importance of oil prices for the housing markets in Texas metropolitan statistical areas.
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Temidayo Oluwasola Osunsanmi, Timothy O. Olawumi, Andrew Smith, Suha Jaradat, Clinton Aigbavboa, John Aliu, Ayodeji Oke, Oluwaseyi Ajayi and Opeyemi Oyeyipo
The study aims to develop a model that supports the application of data science techniques for real estate professionals in the fourth industrial revolution (4IR) era. The present…
Abstract
Purpose
The study aims to develop a model that supports the application of data science techniques for real estate professionals in the fourth industrial revolution (4IR) era. The present 4IR era gave birth to big data sets and is beyond real estate professionals' analysis techniques. This has led to a situation where most real estate professionals rely on their intuition while neglecting a rigorous analysis for real estate investment appraisals. The heavy reliance on their intuition has been responsible for the under-performance of real estate investment, especially in Africa.
Design/methodology/approach
This study utilised a survey questionnaire to randomly source data from real estate professionals. The questionnaire was analysed using a combination of Statistical package for social science (SPSS) V24 and Analysis of a Moment Structures (AMOS) graphics V27 software. Exploratory factor analysis was employed to break down the variables (drivers) into meaningful dimensions helpful in developing the conceptual framework. The framework was validated using covariance-based structural equation modelling. The model was validated using fit indices like discriminant validity, standardised root mean square (SRMR), comparative fit index (CFI), Normed Fit Index (NFI), etc.
Findings
The model revealed that an inclusive educational system, decentralised real estate market and data management system are the major drivers for applying data science techniques to real estate professionals. Also, real estate professionals' application of the drivers will guarantee an effective data analysis of real estate investments.
Originality/value
Numerous studies have clamoured for adopting data science techniques for real estate professionals. There is a lack of studies on the drivers that will guarantee the successful adoption of data science techniques. A modern form of data analysis for real estate professionals was also proposed in the study.
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Aakash Khindri and Santosh Rangnekar
Drawing insights from Piaget's theory of cognitive development and exploring their applicability to working adults while assessing the role of tenure, as appreciated by multiple…
Abstract
Drawing insights from Piaget's theory of cognitive development and exploring their applicability to working adults while assessing the role of tenure, as appreciated by multiple studies associated with adaptability and openness, the current study examines the influence of work experience in the relationship between an individual's adaptability and openness to people's ideas in the context of the Indian workplace. The study followed a cross-sectional survey-based design, and data were gathered from 202 junior, middle and senior executives from Indian manufacturing and service organizations. Using PROCESS macro in SPSS, the moderating effect of work experience on the linkage between adaptability to situations and openness to people's ideas was examined. The study results depicted that adaptability to situations is positively associated with a person's openness to people's ideas. Such a result indicates that promoting adaptability among employees could lead to openness in behaviour towards ideas of their colleagues and other people, which may promote team cohesiveness and learning in the long run. Also, the work experience of employees was found to be moderating the relation between adaptability and openness such that the increasing years of work experience tend to enhance the positive relationship between adaptability and openness. These results suggest that as the work experience increases, the positive association between adaptability and tendency to be open towards people's ideas strengthens. Further, the implications for the domains of research and practice, limitations of the study and directions for future studies have been discussed.
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Pantea Foroudi, Reza Marvi, Mohammad M. Foroudi, Sayabek Ziyadin and Solongo Munkhbat
Finding an efficient way for enhancing brand reputation by using social media among customers and business partners has long been the main purpose of every business. However, due…
Abstract
Finding an efficient way for enhancing brand reputation by using social media among customers and business partners has long been the main purpose of every business. However, due to micro and macro changes in the business field, strategies to find a way to improve brand reputation with business partners and customers have altered from transaction marketing to newer approaches such as employing a social media platform. However, not all brands make use of social media to enhance their reputation. The present study uses Apple as an example of the one of the best known brands which does not benefit from social media platforms as to the degree expected.