Miracle-dz/UniFAR-FTUs huggingface dataset:
How can universities improve student loyalty? The roles of university social responsibility, service quality, and “customer” satisfaction and trust

PurposeStudent loyalty is important if universities are to stay in business by recruiting and retaining satisfied students who provide positive evaluations of their university to others. The current study employed a theoretical framework established by consumer researchers to test the hypothesis that university social responsibility (USR) would predict student loyalty, but that this relation would be mediated by perceived service quality, student satisfaction, and student trust in their university.Design/methodology/approachFee-paying university students in Pakistan (n = 608) completed a questionnaire to assess their perception of USR and service quality, their satisfaction with and trust in their university, and loyalty toward their university.FindingsStructural equation modelling with partial least squares software supported the hypotheses that higher perceived USR would be related to higher student loyalty, and that this relation would be mediated by perceived service quality, student satisfaction, and student trust.Originality/valueThis study provides a novel contribution to the limited literature on USR and its relations with student loyalty. Several models have previously examined the relation between corporate social responsibility and general consumer loyalty, but these have limited applicability to the education sector. The data in this study support a model showing that USR supports student loyalty through its positive impact on perceptions of service quality, student satisfaction, and student trust. The findings suggest that USR could be a marketing tool that supports student loyalty, as long as USR initiatives increase students' perceptions of service quality, satisfaction and trust in their university.
Seed longevity studies in wild type, cultivated and inter-specific recombination inbred lines (RILs) of soybean

Loss of seed viability is a serious hurdle in higher production and ambient seed storage of soybean. Understanding the factors affecting seed viability and identification of soybean genotype(s) with higher viability is critical for higher soybean production. In this study, seeds of 125 soybean genotypes of three different species (Glycine tomentella, Glycine soja and Glycine max) and 25 RILs (Glycine soja × Glycine soja) were tested for germination immediately after harvest followed by one, two and three years of ambient storage. Fresh seeds of all the genotypes recorded 78-99% germination with a mean of 94.02%. However, the mean value of per cent germination of all the genotypes after one, two and three years of ambient storage decreased and found to stand at 79.51%, 52.24% and 29.18%, respectively. Among the genotypes tested, G. tomentella accession registered highest seed storability followed by G. soja, RILs and G. max. After three years of storage, 14 wild type genotypes and 3 RILs maintained >70% germination and identified as ‘good storers’. Genetic divergence studies via k-mean clustering and principal component analysis grouped all genotypes in three cluster/component based on seed size, seed coat permeability and seed viability. Seed viability was significantly and negatively correlated with electrical conductivity. Good storers found to be having slow imbibition rate than poor storers in initial hours of imbibition. The good storing genotypes identified in this study will serve as an elite soybean genetic resource in developing the soybean cultivars with better seed longevity.
Study on formation mechanism of ground fissures induced by underground engineering construction in Chongqing area

The geological structure of Chongqing area is complex, many small and mediumsized faults are developed in the axis of anticline fold, and there are many structural fissures in rock strata, and karst landform is developed in some areas. With the development of economy, the construction of underground engineering is increasing, which leads to the rapid decline of groundwater and construction vibration, resulting in a large number of uneven ground settlement, and the formation of ground fissures. This paper introduces the various forms of ground fissures, analyzes the formation process of uneven ground settlement area in the process of underground engineering construction, establishes the stress model of soil surface cracks based on the fracture mechanics theory of cohesive soil cracks, uses the fracture judgment of I-II composite cracks to determine whether the cracks expand or not, and uses the formula of soil cracking angle to calculate its propagation direction, and preliminarily explains the fracture mechanism of soil in the ground fissure area. It provides reference for the further study of corresponding disaster mechanism.
Emerging Therapeutic Strategies to Overcome Drug Resistance in Multiple Myeloma

Simple Summary Multiple myeloma is a deadly blood cancer, but fortunately drug development has substantially prolonged the lifespan of patients to average more than a decade after diagnosis with optimal therapy. As a result, the population of patients living with multiple myeloma has grown considerably. Through its course, patients suffer repeated relapses for which they require new lines of treatment. Currently, the key drug classes for treatment are immunomodulatory drugs, proteasome inhibitors, and monoclonal antibodies. The goal of this review is to summarize the understanding of the problem of resistance to these drugs, which is ultimately responsible for patient fatality. In addition, we will focus on how new agents that are promising in clinical trials overcome resistance. Abstract Multiple myeloma is a malignant plasma cell neoplasm that remains incurable and is ultimately fatal when patients acquire multi-drug resistance. Thus, advancing our understanding of the mechanisms behind drug resistance in multi-relapsed patients is critical for developing better strategies to extend their lifespan. Here, we review the understanding of resistance to the three key drug classes approved for multiple myeloma treatment: immunomodulatory drugs, proteasome inhibitors, and monoclonal antibodies. We consider how the complex, heterogenous biology of multiple myeloma may influence the acquisition of drug resistance and reflect on the gaps in knowledge where additional research is needed to improve our treatment approaches. Fortunately, many agents are currently being evaluated preclinically and in clinical trials that have the potential to overcome or delay drug resistance, including next-generation immunomodulatory drugs and proteasome inhibitors, novel small molecule drugs, chimeric antigen receptor T cells, antibody-drug conjugates, and bispecific antibodies. For each class, we discuss the potential of these strategies to overcome resistance through modifying agents within each class or new classes without cross-resistance to currently available drugs.
Agile HR Strategies: Prerequisite of Business Competitiveness in a Dynamic Environment

This article aims to analyze the domain of agile HR strategies that are oriented towards creating agile workers who play a strategic role in gaining and maintaining a sustainable competitive advantage of business in a rapidly changing market environment. Organizational agility is needed to be adaptive in responding to various dynamics of change in the business environment. The concept of agile organization applies to all forms of organization both manufacturing and services. Various domains of organizational agility studies in previous organizational studies. Literature review is used to analyze that problem. Organizations respond to changes in the business environment by utilizing the resources they have. How Agile HR strategies can leverage the dynamic dimensions of organizational agility (agile enablers), namely knowledgeable employees who have the agile capabilities for conduct learning, coordination, communication, and collaboration, are the main discussions of this article. Agile HR strategies include a set of policies and/or practices in the management of human resources in business organizations which, among others, can provide agile workers, collaborative work culture, learning organizations, design work-teams oriented, and practices oriented to empower workers. Managerial implications are presented at the end of this article.
The post-adoption behavior of internet banking users through the eyes of self-determination theory and expectation confirmation model

PurposeIn this era of digital technology, the banking sector has revolutionized its operations by using web-based Internet banking services. However, the success of these financial services is dependent on Internet banking user continuance intention instead of initial adoption. The current study develops a theoretical framework based on three well-known theories, namely the expectation–confirmation theory, self-determination theory (SDT) and the commitment trust theory, to investigate Internet banking user continuance intention towards use of Internet banking services.Design/methodology/approachFollowing positivist paradigm, a research survey was conducted towards Internet banking users of commercial banks. In response, 355 valid observations were retrieved and used for data analysis. For data analysis, this study has used a latest statistical approach, namely structural equation modelling (SEM). FindingsThis study has confirmed that factors underpinning the commitment trust theory, SDT and expectation–confirmation model have significant impact on Internet banking user continuance intention. The research model explained 68.4% of variance in determining Internet banking user continuance intention, which is substantial. The effect size analysis (f2) indicates that perceived usefulness is the most important factor among all other exogenous variables. The predictive relevance of the research model was found substantial Q2 50.3%. These findings confirmed that the research model has substantial power to predict Internet banking user continuance intention.Practical implicationsFrom a managerial perspective, findings of this research give deeper insight into financial advisors, bank managers and policy- makers to understand human motivation and expectation–confirmation factors in order to retain customers and gain return on Information Technology (IT) investment. Additionally, results suggest that attention should be given on user trust, which in turn boosts user intention towards continuance use of Internet banking services. Extension of the self-determination framework contributes to theory and augments e-commerce literature, especially in a post-adoption setting.Originality/valueThere are several studies that investigate Internet banking user pre-adoption behaviour. Therefore, less is discussed about the Internet banking user’s post-adoption behaviour. Findings of this study help financial advisors to comprehensively understand which factor influences Internet banking user behaviour towards continue use of Internet banking services.
Exploring Smallholder Farmers’ Preferences for Climate-Smart Seed Innovations: Empirical Evidence from Southern Ethiopia

Rapid plant breeding is essential to overcome low productivity problems in the face of climatic challenges. Despite considerable efforts to improve breeding practices in Ethiopia, increasing varietal release does not necessarily imply that farmers have access to innovative varietal choices. Prior research did not adequately address whether varietal attributes are compatible with farmers’ preferences in harsh environmental conditions. With an agricultural policy mainly aiming to achieve productivity maximization, existing breeding programs prioritize varietal development based on yield superiority. Against this background, we estimated a multinomial logit (MNL) model based on choice-experiment data from 167 bean growers in southern Ethiopia to explore whether farmers’ attribute preferences significantly diverge from those of breeders’ priorities. Four important bean attributes identified through participatory research methods were used. The results demonstrate that farmers have a higher propensity toward drought-tolerant capability than any of the attributes considered. The model estimates further show the existence of significant preference heterogeneity across farmers. These findings provide important insight to design breeding profiles compatible with specific producer segments. We suggest demand-driven breeding innovations and dissemination strategies in order to accelerate the adoption of climate-smart and higher-yielding bean innovations that contribute to achieve the national and global sustainability goals in Ethiopia.
Factors Inhibiting Corporate Social Responsibility Initiatives Among Construction Companies

Corporate Social Responsibility (CSR) is one of the best strategies that companies used in minimising negative societal and environmental impacts, enhancing economic development and improving social progress concurrently. However, there are many factors discouraging construction companies to implement or establish a CSR plan. Furthermore, there are few empirical studies in relation to CSR in construction, and the majority of empirical research on CSR implementation are rooted in the organisational and economic context of the developed world. Therefore, the current study seeks to investigate the factors inhibiting CSR initiatives among construction companies within the context of a developing country such as Nigeria. The study adopted a survey research method. Questionnaires were administered to a purposively selected group of managing directors, directors, other top construction professionals or management personnel involved in the operation of small, medium and large construction companies in Nigeria. A total of 196 questionnaires were administered among the sampled respondents out of which a total of 119 representing 61% were adequately filled and returned. The data collected were analysed using descriptive and inferential statistics. The results revealed corruption tendencies borne from lack of transparency between companies and government, lack of CSR benefits measurement, lack of financial resources, inadequate support from top management and lack of governmental support as the top five factors inhibiting CSR initiatives among construction companies in Nigeria. In addition, the results from the study revealed that, there is no statistically significant difference in factors inhibiting CSR in construction between indigenous and expatriate and partly indigenous/partly expatriate companies. The findings provide in-depth insight of the factors inhibiting CSR programmes in construction that can help top construction professionals and management personnel in construction companies facilitate development of strategies required to mitigate the factors inhibiting CSR programmes.
Therapeutic potential of hydrolysable tannin on weight management oxidative stress and reproductive health in polycystic rats

Polycystic ovarian syndrome (PCOS) is the emerging infertility disease now a days but its severity varies in different societies due to their eating behavior and living style (Anbu et al., 2016). The PCOS is a complex metabolic and endocrinal disorder that affects both animals and women in their reproductive phases and increases the risk of reproductive abnormalities. The characteristic features of this disease are obesity, hyperglycemia, hyper-androgenism, an-ovulation, insulin resistance, dyslipidemia. In PCOS patients, an increased level of luteinizing hormone (LH), a decreased follicle stimulating hormone (FSH) and high LH/FSH ratio was observed. The formation of the small antral follicles and the development of multiple cystic ovaries were also the major features of PCOS patients (Çınar & Gün Eryılmaz, 2016). The production of reactive oxygen species (ROS) is considered as one of the causative mechanisms behind infertility disorders which results the condition called oxidative stress (OS) (Sadoughi et al., 2017).
Seller Reputation Within the B2C e-Marketplace and Impacts on Purchase Intention

Abstract Online electronic marketplace platforms, a business model that connects buyers with sellers through an intermediary, are steadily growing in Brazil. This research seeks to investigate the importance of the reputation of third-party sellers and its effects on consumers' perceptions of risk and trust; we also assess the consequent impacts on purchase intention within the e-marketplace platform. Data was collected via a survey of 309 respondents and tested through structural equation modeling. All proposed hypotheses were confirmed. The results point to the third-party seller's reputation negatively affecting the perception of risk and positively affecting trust in the third-party seller and the intermediary store. Consequently, trust in the intermediary store seems to negatively influence perceived risk, while positively affecting purchase intention. Implications for practice include suggestions for firms that operate in the e-commerce sector. In order to optimize their efforts in e-marketplaces, online retailers should (a) focus on improving the management of third-party sellers and their reputation systems to promote transparency and interactivity and (b) constantly invest in branding, customer service, training, and communicating with third-party sellers. Also, firms must understand that the transfer of trust to third-party sellers raises consumer repurchase intentions and makes e-businesses sustainable.
Customer Incivility and Service Recovery Performance: Job Crafting as a Buffer

This study explores the impact of customer incivility (CI) on service recovery performance (SRP) of Indian frontline banking employees with emotional exhaustion (EE) as a mediator. Whether job crafting behaviour of the employees would assuage the effect of uncivil customer interactions and, thereby, help in maintaining superior recovery performance is further investigated. Data from 428 dyads of employees were gathered to test the hypothesized relationships using structural equation modelling in AMOS 23. The results indicated that CI negatively influences SRP, and EE significantly mediates this relationship. Increasing social and structural resources significantly alleviate the negative effect of (a) CI on EE, (b) CI on SRP and (c) EE on SRP. On the other hand, increasing challenge job demands and decreasing hindrance job demands do not moderate the relationship between (a) CI and EE and (b) CI and SRP. However, decreasing hindrance job demands significantly moderate the negative effect of EE on SRP while, surprisingly, increasing challenge job demands strengthens the relationship between EE and SRP.
An Integrated Spectral–Structural Workflow for Invasive Vegetation Mapping in an Arid Region Using Drones

Mapping invasive vegetation species in arid regions is a critical task for managing water resources and understanding threats to ecosystem services. Traditional remote sensing platforms, such as Landsat and MODIS, are ill-suited for distinguishing native and non-native vegetation species in arid regions due to their large pixels compared to plant sizes. Unmanned aircraft systems, or UAS, offer the potential to capture the high spatial resolution imagery needed to differentiate species. However, in order to extract the most benefits from these platforms, there is a need to develop more efficient and effective workflows. This paper presents an integrated spectral–structural workflow for classifying invasive vegetation species in the Lower Salt River region of Arizona, which has been the site of fires and flooding, leading to a proliferation of invasive vegetation species. Visible (RGB) and multispectral images were captured and processed following a typical structure from motion workflow, and the derived datasets were used as inputs in two machine learning classifications—one incorporating only spectral information and one utilizing both spectral data and structural layers (e.g., digital terrain model (DTM) and canopy height model (CHM)). Results show that including structural layers in the classification improved overall accuracy from 80% to 93% compared to the spectral-only model. The most important features for classification were the CHM and DTM, with the blue band and two spectral indices (normalized difference water index (NDWI) and normalized difference salinity index (NDSI)) contributing important spectral information to both models.
Electronic Health Record Acceptance by Physicians: A Single Hospital Experience in Daily Practice

Introduction: Potential benefits of implementing an electronic health record (EHR) to increase the efficiency of health services and improve the quality of health care are often obstructed by the unwillingness of the users themselves to accept and use the available systems. Aim: The aim of this study was to identify factors that influence the acceptance of the use of an EHR by physicians in the daily practice of hospital health care. Material and Methods: The cross-sectional study was conducted among physicians in the General Hospital Pancevo, Serbia. An anonymous questionnaire, developed according to the technology acceptance model (TAM), was used for the assessment of EHR acceptance. The response rate was 91%. Internal consistency was assessed by Cronbach’s alpha coefficient. A logistic regression analysis was used to identify the factors influencing the acceptance of the use of EHR. Results: The study population included 156 physicians. The mean age was 46.4 ± 10.4 years, 58.8% participants were female. Half of the respondents (50.1%) supported the use of EHR in comparison to paper patient records. In multivariate logistic regression modeling of social and technical factors, ease of use, usefulness, and attitudes towards use of EHR as determinants of the EHR acceptance, the following predictors were identified: use of a computer outside of the office for reading daily newspapers (p = 0.005), EHR providing a greater amount of valuable information (p = 0.007), improvement in the productivity by EHR use (p < 0.001), and a statement that using EHR is a good idea (p = 0.014). Overall the percentage of correct classifications in the model was 83.9%. Conclusion: In this research, determinants of the EHR acceptance were assessed in accordance with the TAM, providing an overall good model fit. Future research should attempt to add other constructs to the TAM in order to fully identify all determinants of physician acceptance of EHR in the complex environment of different health systems.