Search results

Warehouse receipt-based financing (WRF), an innovative instrument with its structure embedded in the agricultural value chain can potentially address farmers' concerns about timely credit access and accessible remunerative markets. However, studies indicate farmers' exclusion from currently practiced WRF mechanisms across developing countries. Transaction cost and lack of assured remunerative markets post storage are the challenges thwarting farmers' participation. The study explores how these challenges can be addressed by analyzing a case study. The finding will help in coming up with a farmer-inclusive WRF mechanism.

The study uses a case study as an analysis tool. Primary data is gathered through farmers. Descriptive statistics and partial least squares (PLS) approach to structural equation modeling methodology has been adopted for empirical testing of the hypothesis of the study. The study uses SMART PLS 3.0 for analysis of data.

Single window offering of multiple value chain operations and technological intervention in physical handling substantially reduces transaction costs for farmers. Sustained farmers' participation in the case supports this finding. The presence of an assured market (PAM) is found to have a positive and significant relationship with WRF in the case of beneficiary farmers. The PAM is found to have a negative yet significant relationship with WRF in the case of nonbeneficiary farmers. Critical success factors of the entity KisanMitra stated in the case substantiates a farmer-inclusive WRF mechanism.

The study analyzes a case study of specific geography. However, similarities enlisted across developing countries in the introduction section provide a scope of generalization of findings across developing countries. The identified factors for a farmer-inclusive WRF mechanism will enable the governments, policymakers and development institutions to ascertain and align their WRF implementation measures to inculcate and upgrade these factors to the prospective WRF agents. Future studies can explore the replication of farmer-inclusive WRF mechanisms across other geographies. The studies also explores the role of technological interventions in further reducing the transaction cost and suitable policy modifications to encourage replication of the study in other geopgraphical context.

The study on WRF and the methodology adopted is first of its kind to identify factors for a farmer-inclusive WRF mechanism.

Using the Stimulus-Organism-Response (SOR) model as a theoretical guide, this study employed a conceptual model involving residents’ place attachment (S) to the destination in which they live and emotional solidarity with tourists (O) as precursors to their involvement in tourism (R). The purpose of this paper is threefold: To determine (1) whether residents’ place attachment explains their emotional solidarity with tourists, (2) if emotional solidarity is an effective predictor of residents’ involvement in tourism planning and development and (3) if emotional solidarity dimensions mediate the relationship between place attachment and involvement.

Data were collected from 378 permanent resident heads of households living in, or adjacent to, central Orlando, using a self-administered survey with a census-guided systematic sampling method. Data were subjected to tests of normality and common method bias, followed by a two-step confirmatory factor analysis and structural equation modeling.

Seven of the 11 proposed model hypotheses were supported, with moderate variances explained in each of the four outcome variables: welcoming nature (R² = 19.3%), emotional closeness (R² = 24.5%), sympathetic understanding (R² = 39.4%) and involvement (R² = 36.8%). Though both place identity and place dependence (as two dimensions of place attachment) were partial mediators, the former proved to be more pronounced.

This study employed non-economic measures—place attachment and emotional solidarity—in determining residents’ involvement in tourism within their community. Such an approach provides fresh insights into how such symbolic constructs can contribute to residents’ positive, actionable involvement in tourism. This research is one of the few that have incorporated emotional solidarity as a construct within the SOR model and the first to examine the indirect effects (through mediation) of emotional solidarity.

The inclusion of LGBTQ + persons (lesbian, gay, bisexual, transgender, queer and having other sexual orientations and gender identities) is a crucial step in improving gender diversity in the workplace; however, till date, it remains a significant challenge for human resource management professionals. The current study critically examines this issue of an inclusive workplace for LGBTQ + people through a systematic review of the existing research that has empirically studied their experiences at the workplace. It also examines the resistance and challenges organizations face in LGBTQ + diversity training and provides future research avenues.

For systematically reviewing the literature, Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) model has been used. A total of 101 empirical studies have been reviewed.

The result shows that LGBTQ + people encounter multiple negative workplace experiences, including proximal (hiring discrimination and housing discrimination) and distal workplace discrimination (unsafe work climate, microaggressions and harassment). These aversive experiences lead to work stress while also mandating that people manage their sexual identity and style of dressing. This stress, in turn, impacts their work–family outcomes, job satisfaction and decision-making with regard to their careers.

The paper provides a holistic understanding of the aversive workplace experiences encountered by sexual minorities.

Nanosensors have a wide range of applications because of their high sensitivity, selectivity and specificity. In the past decade, extensive and pervasive research related to nanosensors has led to significant progress in diverse fields, such as biomedicine, environmental monitoring and industrial process control. This led to better and more efficient detection and monitoring of physical and chemical properties at better resolution, opening new horizons in the development of novel technologies and applications for improved human health, environment protection, enhanced industrial processes, etc.

In this paper, the authors discuss the application of citation network analysis in the field of nanosensor research and development. Cluster analysis was carried out using papers published in the field of nanomaterial-based sensor research, and an in-depth analysis was carried out to identify significant clusters. The purpose of this study is to provide researchers to identify a pathway to the emerging areas in the field of nanosensor research. The authors have illustrated the knowledge base, knowledge domain and knowledge progression of nanosensor research using the citation analysis based on 3,636 Science Citation Index papers published during the period 2011 to 2021.

Among these papers, the bibliographic study identified 809 significant research publications, 11 clusters, 556 research sector keywords, 1,296 main authors, 139 referenced authors, 63 nations, 206 organizations and 42 journals. The authors have identified single quantum dot (QD)-based nanosensor for biological applications, carbon dot-based nanosensors, self-powered triboelectric nanogenerator-based nanosensor and genetically encoded nanosensor as the significant research hotspots that came to the fore in recent years. The future trend in nanosensor research might focus on the development of efficient and cost-effective designs for the detection of numerous environmental pollutants and biological molecules using mesostructured materials and QDs. It is also possible to optimize the detection methods using theoretical models, and generalized gradient approximation has great scope in sensor development.

The future trend in nanosensor research might focus on the development of efficient and cost-effective designs for the detection of numerous environmental pollutants and biological molecules using mesostructured materials and QDs. It is also possible to optimize the detection methods using theoretical models, and generalized gradient approximation has great scope in sensor development.

This is a novel bibliometric analysis in the area of “nanomaterial based sensor,” which is carried out in CiteSpace software.

To minimize customer churn, many service providers offer consumers the option of automatic contract renewal at the end of a contract period. Such agreements are known as rollover service contracts (RSCs). This research quantifies the effect of RSCs and other related factors, such as incentives, on consumers' service choice decisions.

The study adopts choice-based conjoint analysis to assess the effect of RSCs on consumers' choices and to determine whether effect size varies when selecting a cell phone network or gym/leisure club provider, which represent lower-priced utilitarian and higher-priced hedonic services.

It was found that RSCs produce negative perceptions and intended behaviors for the majority of consumers across different product types. Nevertheless, as explained by social exchange theory, many individuals may be persuaded to enter into a RSC on the basis of reciprocity if they are offered an incentive such as a price discount or free product add-on.

In the marketing domain, this is the first comprehensive study to quantify the role of contract type among a range of other factors in consumers' decision-making when selecting a service. The authors' results offer context-specific implications for service marketers. First, RSCs are perceived more negatively in high-priced hedonistic categories, especially among those with lower incomes. Second, price discounts are more effective than product add-ons for motivating hedonic purchases, while product add-ons work better with utilitarian services.