Search results

This study examines how the introduction of mobile money transfers, while making it efficient and convenient to access funds, has affected rural households’ savings behavior and the banking sector.

This study utilizes Fiji’s most recent agricultural census data to model the agricultural household’s saving decision. The study estimates an probit model to examine rural households' savings behavior. Furthermore, it utilizes time series secondary data to examine how funds transfer has been channeled to rural households in Fiji.

Firstly, the results demonstrate that with the mobile money transfer platform launch, the banking sector has lost substantial money previously used to pass through its system, thus losing service fees and interest income. Furthermore, the findings demonstrate that those using mobile wallet platforms to receive money are more likely not to have a savings account with the bank. Noting the cultural systems and social settings of the native households and the ease of payments via the mobile platform, they tend to spend more on consumption rather than saving, thus making these households more vulnerable during shocks such as natural disasters.

While mobile money transfer is hailed as a revolution, no research has yet picked up the downside to it, that of undermining the very effort by policymakers to get low-income rural households to save. Secondly, this study also highlights how mobile money transfer deprives the banking system of a significant transfer fee income and a source of funds to pool and lend to earn interest income. Furthermore, this study brings to the forefront a dichotomy about how a rural indigenous community sees the welfare and prosperity of their community much differently than what economics textbooks portray.

Education is highly regarded as having a central influence on individuals' understanding and backing of democracy, but whether this occurs in young and small democratic states remain unknown. The purpose of this paper is to examine whether schooling and education have a positive impact on an individual's democratic values in Fiji, whose democratic system has been subject to three coups since independence in 1970.

To achieve the goal of this paper, the ordered probit probability model is used. The ordered probit model serves as a better framework for statistical analysis whenever field survey responses are ordinal as distinct from numerical.

The results from an ordered probit model reveal that the education level does not affect an individual's democratic values. However, it is found that gender, age, and ethnicity do have an influence on individuals' endorsement of democracy.

Democracy has more than once proved to be an elusive dream in Fiji. This paper aims to provide the answer whether education can be the facilitating factor in transition towards a more democratic state.

This is the first study which comprehensively explores whether schooling and education has a positive impact on an individual's democratic values in Fiji.

Driven by higher profit incentives, banks’ marketing strategies have tended increasingly to exclude sections of the retail market on socio‐economic lines. Ironically, these strategies are now seen to have profitability and social responsibility implications. Little previous attempt has been made to quantify the relationship between bank service access and the determinants that act as deterrents, to improve general understanding of the extent of exclusionary influence of each determinant and the relevant implications. This study examines quantified relationships using the Probit model and data collected through primary research from a developing economy in the Asia Pacific region. Results show that bank‐driven pricing strategies may have an overriding effect on other factors. The analysis demonstrates that profits may be increased, socio‐economic exclusionary effects reduced and social image improved by voluntarily reconsidering pricing and other bank‐driven exclusionary strategies.

Many investigations are going on in monitoring, contact tracing, predicting and diagnosing the COVID-19 disease and many virologists are urgently seeking to create a vaccine as early as possible. Even though there is no specific treatment for the pandemic disease, the world is now struggling to control the spread by implementing the lockdown worldwide and giving awareness to the people to wear masks and use sanitizers. The new technologies, including the Internet of things (IoT), are gaining global attention towards the increasing technical support in health-care systems, particularly in predicting, detecting, preventing and monitoring of most of the infectious diseases. Similarly, it also helps in fighting against COVID-19 by monitoring, contract tracing and detecting the COVID-19 pandemic by connection with the IoT-based smart solutions. IoT is the interconnected Web of smart devices, sensors, actuators and data, which are collected in the raw form and transmitted through the internet. The purpose of this paper is to propose the concept to detect and monitor the asymptotic patients using IoT-based sensors.

In recent days, the surge of the COVID-19 contagion has infected all over the world and it has ruined our day-to-day life. The extraordinary eruption of this pandemic virus placed the World Health Organization (WHO) in a hazardous position. The impact of this contagious virus and scarcity among the people has forced the world to get into complete lockdown, as the number of laboratory-confirmed cases is increasing in millions all over the world as per the records of the government.

COVID-19 patients are either symptomatic or asymptotic. Symptomatic patients have symptoms such as fever, cough and difficulty in breathing. But patients are also asymptotic, which is very difficult to detect and monitor by isolating them.

Asymptotic patients are very hazardous because without knowing that they are infected, they might spread the infection to others, also asymptotic patients might be having very serious lung damage. So, earlier prediction and monitoring of asymptotic patients are mandatory to save their life and prevent them from spreading.

There is a continuous drive in automotive sector to shift from conventional lubricants to environmental friendly ones without adversely affecting critical tribological performance parameters. Because of their favorable tribological properties, chemically modified vegetable oils such as palm trimethylolpropane ester (TMP) are one of the potential candidates for the said role. To prove the suitability of TMP for applications involving boundary-lubrication regime such as cam/tappet interface of direct acting valve train system, a logical step forward is to investigate their compatibility with conventional lubricant additives.

In this study, extreme pressure and tribological characteristics of TMP, formulated with glycerol mono-oleate (GMO), molybdenum dithiocarbamate (MoDTC) and zinc dialkyldithiophosphate (ZDDP), has been investigated using four-ball wear tester and valve train test rig. For comparison, additive-free and formulated versions of polyalphaolefin (PAO) were used as reference. Moreover, various surface characterization techniques were deployed to investigate mechanisms responsible for a particular tribological behavior.

In additive-free form, TMP demonstrated better extreme pressure characteristics compared to PAO and lubricant additives which are actually optimized for conventional base-oils such as PAO, are also proved to be compatible with TMP to some extent, especially ZDDP. During cylinder head tests, additive-free TMP proved to be more effective compared to PAO in reducing friction of cam/tappet interface, but opposite behavior was seen when formulated lubricants were used. Therefore, there is a need to synthesize specialized friction modifiers, anti-wear and extreme pressure additives for TMP before using it as engine lubricant base-oil.

In this study, additive-free and formulated versions of bio-lubricant are tested for cam/tappet interface of direct acting valve train system of commercial passenger car diesel engine for the very test time. Another important aspect of this research was comparison of important tribological performance parameters (friction torque, wear, rotational speed of tappet) of TMP-based lubricants with conventional lubricant base oil, that is, PAO and its formulated version.

The present paper reflects the gradual change in the need and use of the marketing concepts in libraries and information centres (LICs) and its fruitful effects in the service to the library users, and studies marketing of information products/services in LICs of R&D institutions of Council of Scientific & Industrial Research (CSIR) of India. The paper discusses the role of these LICs including marketing approach, need and application of a marketing program with the help of a survey. For the survey, data were collected through a detailed mailed questionnaire along with interviews. The findings reveal that librarians have a positive attitude towards the different aspects of marketing of a library's information products/services. The study recommends that currently efforts for increasing user‐awareness and separate financial support are requisite for efficient marketing. Instead of scattered approaches and different styles, a coherent view must be taken.

This study aims to develop a taxonomy of organizations according to business process orientation (BPO) maturity and investigate the difference between clusters in terms of performance outcome.

A survey of various organizations in Indonesia is conducted. The main variables are critical practices (CPs) as the measurement variables of BPO maturity and performance outcome. Cluster analysis is performed to obtain an empirical taxonomy of the organizations. ANOVA test is used to test if there are statistically different performance outcomes across different clusters.

Cluster analysis resulted in six archetypes labeled according to their characteristics: Beginners, Non-technical, Domestics, IT laggards, Excellers, and Champions. The ANOVA test results show that the archetypes with high CPs tend to have high perceived performance results.

This study is limited because the authors use a single dataset from organizations in Indonesia. Further study involving more organizations will be beneficial to validate and enrich the taxonomy of organizational archetypes.

Results of the study can be used as a benchmarking tool by organizations to identify their positions against other organizations and set their areas for improvement. It can also help them identify a roadmap for improvement that will benefit their organization.

Using the CPs as a measure of BPO enables the authors to identify supplier orientation and information and technology (IT) implementation as the primary differentiators within the taxonomy. The use of IT differentiates the bottom, middle and top clusters.

The purpose of this paper is to articulate the etiology of ethnic conflict in Fiji that moves beyond polemical interpretations which routinely and often erroneously apportion blame.

A critical survey of ethnic conflict between in Indo‐ and indigenous Fijians is offered. The implication of British colonialism on the conflict is underscored.

The paper concludes that the first three coups that occurred in Fiji between 1987 and 2000 were, to varying degrees, the coupled result of the deterioration of indigenous paramountcy in Fijian politics on the one hand and the lack of their improvement in socio‐economic status on the other. In contrast, the 2006 coup is the product of intra‐ethnic discord amongst indigenous Fijians, which ultimately sidelines the question of indigenous paramountcy.

Unlike previous arguments that have largely ignored economic determinants in creating and perpetuating ethnic conflict in Fiji, this paper illustrates how such factors are crucial to conceptualize an understanding of discord between Indo‐ and indigenous Fijians.

The alternative arrangements to traditional employment have become a promising area in the gig economy with the technological advancements dominating every work. The purpose of this paper is to explore the barriers to the entry of gig workers in gig platforms pertaining to the food delivery sector. It proposes a framework using interpretive structural modelling (ISM) for which systematic literature review is done to extract the variables. This analysis helps to examine the relationship between the entry barriers to gig platforms. The study further proposes strategies to reduce the entry barriers in gig sector which would help to enhance productivity and generate employment opportunities.

The study uses interpretive structural model (ISM) to ascertain the relationship between various entry barriers of the gig workers to the gig platforms. It also validates the relationship and understand the reasons of their association along with MICMAC analysis. The model was designed by consulting the gig workers and the experts allied to food delivery gig platforms namely Zomato and Swiggy.

It was observed that high competition, longer login hours and late-night deliveries are the significant barriers with high driving power and low dependence power. Poor payment structures and strict terms and conditions for receiving the incentives are interdependent on each other and have moderate driving and dependence power. The expenses borne by the gig workers, such as Internet, fuel and vehicle maintenance expenses have high dependence power and low driving power. Hence, they are relatively less significant than other barriers.

The study is confined to food delivery sector of India, without considering other important sectors of gig economy for generalizing the framework. As the study is based on forming an ISM framework through literature review only, it does not consider other research methods for analysing the entry barriers to the gig platforms.

The study attempts to dig out the low entry barriers for gig workers in food delivery platforms as there is a dearth of analysis of these factors. This study would weave them using ISM framework to help the gig platforms overcome these barriers at various levels, thus adding to the body of literature.

The study discusses the need for understanding relationship between the entry barriers in the form of ISM model to identify the dependent and driving factors of the same.

In this exploratory study, we investigate the influence and effects of foreign government corruption on the market value and accounting outcomes of US multinational corporations. We use hierarchical cluster analysis on Transparency International Corruption scores to identify high and low corruption in both developed and developing countries. We argue that corruption obscures the true value of assets, makes valuation difficult, and reduces the potential gains of an acquisition. We find that firms acquiring assets from governments in high corruption environments tend to be larger in size and more intangible asset‐oriented than those expanding into low corruption environments. We find that the market responds much more favorably to expansions into low corruption environments than high corruption environments for both acquisitions and joint ventures. We find little evidence that long run accounting performance is adversely affected by government‐multinational relationships in high corruption environments. However, long run market value outcomes are negative for all firms entering into relationships with foreign governments, and are especially negative for joint venture relationships in developing high corruption environments. Finally, we find that systematic risk increases substantially for firms entering high corruption environments through trust‐based modes of expansions.