Demand-side analysis of measuring financial inclusion

2019 ◽  
Vol 19 (1) ◽  
pp. 1-24 ◽  
Author(s):  
Prabhakar Nandru ◽  
Satyanarayana Rentala

Purpose The purpose of this paper is to measure the financial inclusion dimensions from the perspective of beneficiaries (demand-side).This research additionally attempts to assess the impact of financial inclusion on socio-economic status of primitive tribal groups (PTGs) in India. Design/methodology/approach Using an exploratory factor analysis, the financial inclusion dimensions are identified for a sample of 520 families belonging to PTGs in India. In the next step, reliability and validity test were used to establish the financial inclusion dimensions and socio-economic status factors through confirmatory factor analysis using analysis of moment structures. Finally, structural equation modeling (SEM) had been applied for testing the hypothetical relationships. Findings The study documented five-dimensions of measuring financial inclusion from demand side perspective. The dimensions are as follows: physical proximity, availability, ease of access, affordability and usage. It was found that these factors represent the various dimensions of financial inclusion, which has a significant impact on socio-economic status of the beneficiaries. Research limitations/implications The research results focus on dimensions of financial inclusion, which have an impact on the socio-economic status among the most PTGs in India. The research offers ideas to policymakers to outline strategies to enhance the access to and usage of financial services. Originality/value The present research is one of the first few studies that present the demand-side perspective to assess the financial inclusion dimensions of the “financially most excluded” groups – PTGs in India using a SEM approach.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rahul Priyadarshi ◽  
Srikanta Routroy ◽  
Girish Kant

Purpose The purpose of this study is to analyze the post-harvest supply chain enablers (PHSCEs) for vertical integration to enhance rural employability, farmer profitability and rural produce marketability (i.e. market prospects) in the post-harvest supply chain (PHSC). The impact of vertical integration is also explored for various commercial produces. Design/methodology/approach A structural equation modeling (SEM) of PHSCEs for vertical integration was developed to enhance market prospects, rural employability and farmer profitability. The impact of business-to-business (B2B) and business-to-customer market prospects are explored in various dimensions for stakeholders such as farmers, manufacturers (processors), distributors and retailers. The fuzzy technique for order of preference by similarity to ideal solution (F-TOPSIS) was used to prioritize these PHSCEs to improve market prospects and rural employability. Findings The PHSCEs are clustered into three groups, namely, initiatives at the strategic frontier, initiatives at the tactical frontier and concerns for rural employability via vertical integration using exploratory factor analysis, confirmatory factor analysis and SEM to prove the null hypothesis. With F-TOPSIS results, the availability of warehousing was found to be the most crucial enabler when observing the PHSCEs from the initiatives’ perspective. The technology adaptability and availability, institute for training and research and information infrastructure and information visibility were found to be the key PHSCEs when observed from PHSC stakeholders’ perspectives. Research limitations/implications The implementation of this study will improve the rural produce marketability, rural employability, B2B marketing (i.e. effective distribution) and subsequent value chains with the practice of vertical integration for fresh produce at the rural level. Practical implications The outcomes of this study have a key role in developing the rural regions and improving rural livelihoods via value addition. The awareness of commercial cultivation and value addition in rural areas needs to be improved. This will help farmers to earn better revenues with improved market prospects in comparison to the revenues obtained from the cultivation of staple/conventional crops. Originality/value In an era of cold chains and food processing, this study aims to disseminate awareness about value addition for commercial and fresh produces at the rural level. The implication of this study will improve rural produce marketability, rural employability and farmer profitability at the rural level with the level of vertical integration.


2016 ◽  
Vol 34 (2) ◽  
pp. 136-150 ◽  
Author(s):  
Shalom Levy ◽  
Hayiel Hino

Purpose – The purpose of this paper is to evaluate the relationship between customers’ emotional attachment toward bank service providers and bank loyalty. In particular, the study examines the impact of the emotional attachment factor while treating established effecting variables by employing a new conceptual framework that integrates these variables. Design/methodology/approach – The study employs data collected from a survey involving 436 participants. The study employs Exploratory Factor Analysis and Confirmatory Factor Analysis methods following a path analysis method and structural equation modeling for testing research hypotheses. Findings – The empirical results support the claim that the conceptual framework applied in this study better explains the relationship between customers’ emotional attachment toward bank service providers and bank loyalty. Specifically, the findings show a significant, direct and positive relationship between the customer’s emotional attachment and bank loyalty; an indirect positive relationship also exists through the connection of customer satisfaction. The study distinguishes between two integrated pathways consumers possibly follow when making decisions about services: the conscious decision-making process path and the emotional process path. Practical implications – The paper provides managerial and planning implications to bank service providers who seek to achieve excellent performance and a positive brand personality, thus maintaining long-lasting relationships with their customers. Originality/value – The study is among the few empirical works to specifically examine the impact of customers’ emotional attachment on bank loyalty and contributes to the available literature in that it suggests a systematic conceptual framework that evaluates the impact of key factors on bank loyalty.


2020 ◽  
Vol 28 (2) ◽  
pp. 27-29

Purpose The purpose of this study is to assess the impact of perceived servant leadership on the intrinsic and extrinsic job satisfaction of followers. Design/methodology/approach Data was gathered from the responses of 205 employees working in service- sector organizations in Kuwait as part of a larger questionnaire survey on employee satisfaction and leadership. Servant leadership was then measured using Liden’s (2008) 28 item servant leader instrument and analyzed using factor analysis and structural equation modeling. Findings The results suggest that the seven factor model proposed by Linden (2008) is shown to be valid in this study with good reliability. In addition a second-order factor analysis showed strong positive correlations were found between servant leadership and both intrinsic (0.69) and extrinsic (0.08) job satisfaction. Practical implications Promoting altruistic approaches to leadership which increases extrinsic and intrinsic job satisfaction will have a positive effect on the organizational goals. Leaders should be made aware of this so they can put interventions in place to improve overall performance. Originality/value This paper is of value as research examining the relationship between servant leadership and job satisfaction has been limited so it adds to the body of knowledge with particular relevance to the nature of this relationship in the service sector in the Middle East.


Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anurak Sawangwong ◽  
Poti Chaopaisarn

PurposeThe purpose of the study is to investigate the impact of technological pillars of Industry 4.0 based on knowledge to adopt the supply chain performance of Thai small and medium-sized enterprises (SMEs) 4.0. In addition, to increase knowledge and understanding of how to apply knowledge in technology 4.0 to improve the efficiency of supply chains and organizations.Design/methodology/approachAn integrated model was developed from applying knowledge in five technological pillars of Industry 4.0 such as Internet of things (IoTs), cloud computing, big data and analytics, additive manufacturing and cyber-security. The bibliometric analysis was used to find the relationship between the technological pillars of Industry 4.0 and the literature review. The survey questionnaires were sent to Thai SME 4.0 (manufacturing aspect). Of these, 240 useable responses were received, resulting in a response rate of 65.84%, after then, the exploratory factor analysis (EFA), confirmatory factor analysis (CFA), structural equation modeling (SEM) and validity were used to evaluate the model through IBM SPSS 21 and AMOS 22.FindingsEFA showed the four groups of the technological pillars of Industry 4.0, such as support human, automation, real-time and security. These groups positively impact supply chain performance (increase delivery reliability, increase resource efficiency, decrease costs in the supply chain and reduce delivery time). Another important finding is that supply chain performance positively impacts organizational performance in profitability, return on investment (ROI) and sale growth.Originality/valueThis study is a model development to support the supply chain performance and increase understanding related to applying knowledge in technology 4.0 that remains unclear for SME 4.0.


2019 ◽  
Vol 12 (3) ◽  
pp. 389-410
Author(s):  
Nitin Soni ◽  
Jagrook Dawra

Purpose An open question of behavioral pricing literature is: What are the factors which influence consumers’ judgments of acquisition value and transaction value? An important framework to explain consumers’ shopping and purchase decisions is their decision-making styles. This paper aims to examine the influence of consumers’ decision-making styles, that is, perfectionistic high-quality conscious, brand conscious-price equals quality, novelty-fashion conscious, recreational-hedonistic, price conscious-value for money, impulsive-careless, habitual-brand loyal and confused by overchoice on their judgments of acquisition value and transaction value. Design/methodology/approach From the literature, a conceptual framework was formulated. Data was collected from a survey of 304 respondents. The measurement model was tested using exploratory factor analysis and confirmatory factor analysis. The structural model was tested using structural equation modeling. Findings The consumers’ judgments of acquisition value and transaction value vary with their decision-making styles. The measurement and structural models exhibited good fit, and 12 of the 16 proposed hypotheses were found to be significant. Research limitations/implications The respondents for this research study were urban and postgraduate students. Practical implications The results of this study can help managers personalize their promotional offers and market offerings targeted at consumers with different decision-making styles. Originality/value Behavioral pricing literature has not convincingly shown that consumers make the judgments of the two values, acquisition value and transaction value, in a purchase scenario. There is limited literature on the impact of decision-making styles on the marketing variables. The results of this study contribute to the literature by showing that consumers make the judgments of these two values, and these judgments vary with their decision-making styles. Also, this is one of only a few studies to examine the two components of the purchase value in an Indian context.


2019 ◽  
Vol 27 (4) ◽  
pp. 361-383 ◽  
Author(s):  
Jagdish Kaur ◽  
Sangeeta Arora

Purpose This paper aims to develop, refine and validate a multidimensional scale for measuring students’ attitude toward educational debt for higher studies in Punjab (India) and the impact of this attitude on the satisfaction of students. Design/methodology/approach The study uses interview and survey approach. The sample comprises 417 students from four public and four private universities of Punjab (India). Exploratory factor analysis and confirmatory factor analysis have been used to develop and validate students’ attitude toward education loan scale (Morgado et al., 2017). Further, structural equation modeling (SEM) has been used to analyze the impact of factors of students’ attitude on their satisfaction. Findings The scale has been tested for both reliability and validity. Analysis has revealed six factors of students’ attitude toward educational debt, namely, economic empowerment, social empowerment, utility, procedural requirements, risk and stress. These, six independent variables and one dependent variable, i.e. students’ satisfaction, were entered into structural equation model. The structural equation model shows that procedural requirements, economic empowerment and utility have a positive, whereas stress has a negative and significant impact on the students’ satisfaction. Practical implications Education financing is a gigantic problem nowadays due to the high cost of self-financing courses in Punjab. To make higher education accessible to all students, education loan plays a vital role. Thus, the attitude of students is of great importance to policymakers to bring reforms in education loan scheme. Originality/value To the best of the authors’ knowledge, this study is the foremost study for developing a validated tool to measure the students’ attitude toward educational debt in India.


2019 ◽  
Vol 46 (3) ◽  
pp. 352-376
Author(s):  
Tarsem Lal

PurposeThe purpose of this paper is to measure the impact of financial inclusion on rural development through cooperatives.Design/methodology/approachThe primary data were collected from 540 beneficiaries of Cooperatives banks operating in three northern states of India, i.e., J&K, Himachal Pradesh and Punjab using purposive sampling during January to June 2016. Exploratory factor analysis, confirmatory factor analysis, ANOVA,t-test and structural equation modelling were used for scale purification and data analysis.FindingsThe findings of the study revealed that financial inclusion through cooperatives has direct and significant impact on rural development. Further, the results support the notion that financial inclusion is a strategy of inclusive growth, but inclusive growth itself is a subset of a larger set of inclusive development which means that the benefit must reach the all, particularly the women and the children, minority groups, the extremely poor and those pushed below the poverty line by natural and human-made disasters.Research limitations/implicationsThe research has certain inescapable limitations. First, the in-depth analysis of the study is restricted to three northern states of India only because of time and resource constraints. Second, the study is confined to the perception of financial inclusion beneficiaries only, which in future could be carried further on the perception of other stakeholders such as SHGs, banking correspondents, etc. Third, possibility of subjective interpretation in some cases cannot be ruled out.Originality/valueThe study makes contribution towards financial inclusion literature relating to sustainable rural development and fulfils the research gap to some extent by assessing the impact of financial inclusion on rural development through cooperatives.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anshu Singh

PurposeThe purpose of this study is to explore the demand side factors affecting financial inclusion in general and credit uptake in particular.Design/methodology/approachThe present study is descriptive and exploratory in nature and is purely based on primary data. The data collection instrument has been scientifically after thorough review of literature and seeking expert opinion. Primary data have been collected from the respondents of lower socioeconomic class in selected rural areas in the State of Maharashtra, India. Exploratory technique like factor analysis and structural equation modelling have been used to identify the inter-relations between financial inclusion and underlying barriers.FindingsThe study concludes that there are major latent issues that determine the uptake and usage of financial services, major being “operational and implementation challenges”, “financial literacy” and “affordability”. The “usage” aspect further impacts financial inclusion along with “access” variable. These are some of the most important factor for creating demand-driven approach towards financial products and services specially credit. The author concludes that the identified latent barriers with respect to the “usage” dimension of financial inclusion require greater policy attention so that it can complement the supply-side measures.Practical implicationsThe study establishes that merely having “access” through bank account ownership will not fulfil the objective of financial inclusion, and it is the “usage”, which is also important to realize the full potential of financial inclusion at the bottom of the pyramid. So, policy actions should be directed toward enhancing the “usage” aspect of financial services. The “usage” dimension could be enhanced through targeted interventions to mitigate the effect of identified latent barriers.Originality/valueThough researchers have made a mention of demand-side barriers to financial inclusion, detailed study on the topic is missing. The study is one of its kinds in exploring the severity of various demand-side barriers that determine financial inclusion. In the context of emerging economies like India, financial inclusion is often measured in terms of banking outreach and “access”. There are limited studies capturing the “usage” dimension of financial inclusion.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pooja Jha ◽  
Md. Moddassir Alam

PurposeThis study investigates the antecedents of women entrepreneurs’ performance in an emerging economy. Based on the review of extant literature, six antecedents of women entrepreneurs’ performance, namely, motivation, networking, socio-cultural, business environment, training and development, and financials were proposed and subsequently empirically examined.Design/methodology/approachGaps in the literature were identified, based on which the theoretical background of the study was formulated. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were applied to confirm the factor-item structure. The impact of explanatory variables was investigated using the structural equation modeling (SEM) based path analysis.FindingsThe study concludes that motivation, networking, socio-cultural, business environment, training and development, and financials have a significant positive influence on the performance of the women entrepreneurs.Originality/valueThere is a dearth of quality research that holistically investigates the key antecedents of performance among women entrepreneurs. Most existing studies have not considered the possible antecedents of performance concomitantly. Additionally, the relationships have been measured individually rather than at the construct level. Further, a majority of the existing studies investigating the performance of women entrepreneurs have been confined to settings within developed countries. By providing insight into the antecedents of women entrepreneurs’ performance elsewhere, the present study attempts to bridge these identified gaps. This study is expected to advance the knowledge about the factors influencing the performance of women entrepreneurs in emerging economies such as India. These insights will likely be valuable when creating policies related to this crucial aspect of economic development.


2019 ◽  
Vol 9 (2) ◽  
pp. 155-174
Author(s):  
I Made Laut Mertha Jaya

The purpose of this study is to know the impact of financial inclusion on public financial services education through financial technology. This research was conducted in Sleman Regency because the area was quite large in Yogyakarta, and was ranked third. This type of research is quantitative research. Data collection methods used are questionnaires and literature studies. Data analyses used in this study are the validity test, reliability test, descriptive statistical test, and SEM (Structural Equation Modeling) analysis test. The results of this study found that financial inclusion has been proven to have no impact on public financial services education. However, financial inclusion has proven to have a significant impact on financial technology in Sleman Regency in 2018. In addition, financial inclusion through financial technology has also proven to have a positive impact on public financial service education in Sleman Regency in 2018.


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