Miracle-dz/UniFAR-FTUs huggingface dataset:
PENGARUH BRAND IMAGE, KUALITAS, PERSEPSI HARGA DAN VARIASI PRODUK TERHADAP MINAT BELI KONSUMEN SARUNG GAJAH DUDUK DI KABUPATEN PEKALONGAN

The development of textile industry and fashion in Indonesia is rapidly increasing which caused fierce competition between businesses. This can be seen from the decline in sales sarong Gajah Duduk. Sarong Gajah Duduk is a pre-eminent sarong brand of PT.Pismatex pekalongan.Sarong Gajah Duduk it is first time marketed in 1972. This research was conducted to analyze the effect of brand image, quality, price perpection and product variation on purchase intention of Sarong Gajah Duduk product located in Pekalongan. D ata collection technique used in this study are questionnaire. Sampling technique used is purposive sampling technique by convenience sampling which is choosing respondents who by chance met the researcher. Respondents of this research as many as 100 people. To analyze the impact of independent variables on dependent variable, multiple linier regression analysis is used. The result of this study showed that brand image have a negative effect on purchase intention (first hypothesis rejecte. The second hypothesis which state that quality have a positive impact on purchase intention is accepted as well. The third hypothesis which state that price perpection have a positive effect on purchase intention is accepted and the fourth hypothesis which state that product variation have a positive effect on purchase intention is accepted. The coefficient of determination test result stated that all four independent variables have an 40,7% on purchase intention.
Academic language support for at-risk students: REACHing further

In the Australian higher education context, academic language competence is one of the keys to success for students in their degree programs. Students with underdeveloped communication skills in the relevant discourse community are at risk of not meeting minimum standards in their university courses. REACH (Retention – English for Academic Completion Help) is a set of aca-demic language modules embedding relevant language strategies into course content related to course assessment. It was developed at an Australian uni-versity for students at risk of not continuing their participation through failure in a first-year course. This article outlines the REACHing Further stage of the REACH project and presents data collected for part of the evaluation of the REACH approach while discussing the distinctive contextual academic lan-guage support in the academic disciplines. REACHing Further increased ac-cessibility to the REACH modules online and provided an online facilitator. This article reports that those students who were engaged with the REACH modules generally valued the support and expressed the view that they would recommend others to participate in future. Although the overall engagement by the identified target group was low compared with the mainstream students in the courses selected, examiners and tutors of the target courses indicated that the REACH modules were well linked to the course materials and suggested that students should use them more actively. It is recommended that a more interactive, systematic and personalised approach needs to be attractively presented to the target groups and individuals while also researching effective ways of offering academic language support.
Two remarks on a paper by Sani et al.

In Sani et al. (Int. J. Numer. Meth. Fluids 2006; 50:673–682), the authors claim to provide a proof of well‐posedness for certain formulations of the Navier–Stokes equations for incompressible flow. We consider the proof of their main Theorem 1 incomplete, and point out some inconsistencies in the above paper. Copyright © 2008 John Wiley & Sons, Ltd.
Direct and Spillover Effects of Agricultural Technology Adoption Programs: Experimental Evidence from the Dominican Republic

This paper estimates the impact of an agricultural technology adoption program on agricultural production and income using an experimental approach. The context of analysis is the Program for the Support of Innovation in Agricultural Technology (PATCA II) implemented in the Dominican Republic. The program aimed to increase the agricultural productivity and income of smallholder farmers by encouraging the adoption of a technology. We exploit a two-stage randomized experiment conducted at the geographic and farmer levels to estimate the effects of adopting improved pasture and irrigation technologies. To measure the effectiveness of the program, we combined rich microeconomic data obtained from a comprehensive household survey with administrative data to measure both direct and spillover effects. The sample includes 2,499 farmers, including direct beneficiaries, indirect beneficiaries, controls, and farmers within the social network of direct beneficiaries. We find different patterns of adoption and significant impacts on production-related outcomes for both of the technologies analyzed. The results show adoption of improved pastures increased agricultural income and that the effects intensify over time. In the case of irrigation, treatment had adverse effects on total household income and agricultural production; however, there is evidence of a change in the production portfolio of program beneficiaries from temporary to permanent crops as a function of time of exposure to the technology. Whereas irrigation can be implemented immediately after treatment, income benefits take time to materialize, for instance, as permanent crops reach the initial point of harvest or maturity. These results imply the existence of a dynamic learning-by-doing process. Also, the assessment of indirect or spillover effects did not validate the hypotheses that knowledge spillovers might take place among farmers in close geographical and social proximity to program beneficiaries. The results present evidence that liquidity constraints are critical determinants of technology adoption for smallholder farmers in the Dominican Republic.
Online Banking and Customer Satisfaction: Evidence from India

On the basis of technology acceptance model (TAM) and decomposed theory of planned behaviour (DTPB), the present study is aimed at studying customer satisfaction in online banking in India. Data collected from 750 respondents from both public and private sector banks were used to test the mediated model using the hierarchical regression. The results supported that perceived usefulness acted as a partial mediator in the relationship between various independent variables, such as awareness of online banking services, security, knowledge of Internet, self-efficacy, intention to adopt, trust, easy to use, and dependent variable, that is, customer satisfaction. Implications for research and practising managers are discussed.
Formal rules and networks for technology diffusion in the context of plant disease epidemics : the case of small-scale producers of oil palm in Colombia

In this research we specifically look at how top-down diffusion strategies are essential for producers to deal with these stress situations. The research investigates the diffusion of strategies introduced by technical experts through network relationships prompted by a plant disease epidemic in the Colombian oil palm agribusiness. The thesis discusses how different pathways of technology diffusion emerge and are practiced in the context of top-down agricultural governance systems, and what the impacts of these pathways are in terms of the technology adoption of small-scale producers in developing agricultural clusters. The framework of this thesis draws upon three main bodies of literature: innovation diffusion, social capital and contract farming arrangements. The main argument of the research is that despite high levels of top-down control, there is more than one way in which diffusion of codified practices occurs. Using three case studies in the Colombian oil palm agribusiness, the main findings are, first, that formal rules are a critical factor in the creation of two scenarios of diffusion: a diffusion pathway of governance dictated by dominant change agent control, and a diffusion pathway of governance dictated by change agent control and user participation. Second, short-term practices are introduced, regardless of the type of model, mainly through network links between agro-industrial firms and producers that underpin non-formal systems of relationships. Third, successful adoption of long-term practices occurs in scenarios with a broad distribution of functions among multiple key actors and producers. The adoption of long-term measurements is also significantly related to the following factors: the long term vision, the attachment to land and the engagement in collective action of rural farmers, and the long-term sustainability vision of agro-industrial firms regarding the integration of smallholders into agribusiness. This thesis contributes to the innovation-diffusion literature by: • extending the view that the current literature offers on centralised-diffusion systems; • considering the influence of formal rules in the creation of multiple scenarios of diffusion and the effect of these rules, the nature of users and the interest of change agents in the adoption of short-term and long-term practices; • highlighting the role of informal relationships in top-down relationships; and • recognising the potential of network methods as an instrumental way to reflect types of governance centralised-diffusion systems.
Socio-Economic Determinants of Movable Frame Hive Technology Adoption in Gamo Gofa Zone of the Southern Ethiopia

Beekeeping is a well established traditional farming enterprise and income generating activity since long time in Gamo Gofa Zone. Many attempts have been made to introduce improved beekeeping and modernize the production system so as to improve productivity and the benefit thereof. However, the attempts hadn’t been met to the desired level and no technical study has been made so far to identify the gaps in promotional effort and farmers’ response to it. The objectives of this study were identifying socio-economic determinants of movable frame hive technology adoption and measuring their responsiveness. Proportionate random sampling was employed to get sample respondents and they were categorized in-to non-adopters and adopters of movable frame hive technology. Out of the total 168 sample respondents, 99 were non-adopters and 69 were adopters of movable frame hive technology. The data were collected through semi-structured questionnaire interview. The data were analysed using descriptive statistics, binary probit model and partial effect analysis. The results of the binary probit model indicated that age, formal education, traditional beekeeping experience, availability of movable frame hive accessories, livestock holding, income and demonstration didn’t have significant influence on movable frame hive technology adoption. While: wealth status, market access, extension service and training were found to influence significantly. The partial effect analysis revealed that wealth, market access, extension service and training influence movable frame hive adoption decision by 26.043%, 23.876%, 15.390% and 29.982% respectively. Therefore, different stakeholders working to improve the productivity of the sub-sector and promote movable frame hive technology should focus on these determining factors to achieve the intended goal. Keywords: Adoption, Constraints, Determinants, Movable Frame Hive
ANALISIS FRAUD LAPORAN KEUANGAN DENGAN WOLFE & HERMANSON’S FRAUD DIAMOND MODEL PADA PERUSAHAAN LQ45 DI BURSA EFEK INDONESIA

Fraud laporan keuangan merupakan penipuan yang menimbulkan bahaya laten bagi hampir semua perusahaan di dunia. Faktor utama terjadinya fraud (penipuan) meliputi, tekanan (pressure), peluang (opportunity), rasionalisasi (razionalitation) dan sampling dengan sampel akhir 25 persahaan. Pengujian data menggunakan regresi logistik. Hasil penelitian menunjukkan bahwa faktor tekanan yang ditinjau dari personal financial need dan external pressure serta rasionalisasi berpengaruh terhadap fraud laporan keuangan. Untuk faktor tekanan lainnya yaitu financial stability dan financial target; kesempatan ditinjau dari nature of industry dan effective monitoring serta kapabilitas tidak berpengaruh terhadap fraud laporan keuangan.
Sequence analysis of call record data: exploring the role of different cost settings

Sequence analysis is widely used in life course research and more recently has been applied by survey methodologists to summarize complex call record data. However, summary variables derived in this way have proved ineffective for post‐survey adjustments, owing to weak correlations with key survey variables. We reflect on the underlying optimal matching algorithm and test the sensitivity of the output to input parameters or ‘costs’, which must be specified by the analyst. The results illustrate the complex relationship between these costs and the output variables which summarize the call record data. Regardless of the choice of costs, there was a low correlation between the summary variables and the key survey variables, limiting the scope for bias reduction. The analysis is applied to call records from the Irish Longitudinal Study on Ageing, which is a nationally representative, face‐to‐face household survey.
Direct Pose Estimation and Refinement

We study a fundamental question in pose estimation from vision-only video data: should the pose of a camera be determined from fixed and known correspondences? Or should correspondences be simultaneously estimated alongside the pose? Determining pose from fixed correspondences is known as feature-based, where wellestablished tools from projective geometry are utilized to formulate and solve a plethora of pose estimation problems. Nonetheless, in degraded imaging conditions such as low light and blur, reliably detecting and precisely localizing interest points becomes challenging. Conversely, estimating correspondences alongside motion is known as the direct approach, where image data are used directly to determine geometric quantities without relying on sparse interest points as an intermediate representation. The approach is in general more precise by virtue of redundancy as many measurements are used to estimate a few degreesof-freedom. However, direct methods are more sensitive to changes in illumination. In this work, we combine the best of the feature-based approaches with the precision of direct methods. Namely, we make use of densely and sparsely evaluated local feature descriptors in a direct image alignment framework to address pose estimation in challenging conditions. Applications include tracking planar targets under sudden and drastic changes in illumination as well as visual odometry in poorly-lit subterranean mines. Motivated by the success of the proposed approach, we introduce a novel formulation for the joint refinement of pose and structure across multiple views akin to feature-based bundle adjustment (BA). In contrast to minimizing the reprojection error using BA, initial estimates are refined such that the photometric consistency of their image projections is maximized without the need for correspondences. The fundamentally different technique is evaluated on a range of datasets and is shown to improve upon the accuracy of the state-of-the-art in vision-based simultaneous localization and mapping (VSLAM). To Family and in memory of Gradnma Salma & Uncle Mufeed.
Frames Beyond Words

Methods to automatically analyze media content are advancing significantly. Among others, it has become increasingly popular to analyze the framing of news articles by means of statistical procedures. In this article, we investigate the conceptual validity of news frames that are inferred by a combination of k-means cluster analysis and automatic sentiment analysis. Furthermore, we test a way of improving statistical frame analysis such that revealed clusters of articles reflect the framing concept more closely. We do so by only using words from an article’s title and lead and by excluding named entities and words with a certain part of speech from the analysis. To validate revealed frames, we manually analyze samples of articles from the extracted clusters. Findings of our tests indicate that when following the proposed feature selection approach, the resulting clusters more accurately discriminate between articles with a different framing. We discuss the methodological and theoretical implications of our findings.
Pengaruh Pemanfaatan Teknologi Informasi, Pengendalian Internal dan Komitmen Organisasi Terhadap Kinerja Organisasi (Studi Kasus Satuan Kerja Perangkat Daerah Kabupaten Gunungkidul)

This research aims to find out more about the influence of the use of information technology, internal control and organizational commitment to organizational performance. Increasing organizational performance can build employee confidence in carrying out their tasks within the organization. The data used in this study are primary data in the form of questionnaire results. Respondents in this study are the Regional Work Unit of Gunungkidul Regency. The sampling method uses Purposve Sampling. Multiple linear regression analysis shows that the use of information technology affects the organizational performance of Gunungkidul Regency while internal control and organizational commitment do not affect the performance of Gunungkidul Regency organizations.
HOW BRAND TRUST AND PERCEIVED VALUE IMPLY BRAND LOYALTY ON RICE PRODUCT

For the rice product to achieve the sales goal through marketing, the effect of brand trust and perceived value in building brand loyalty is the most important for the company to achieve its purpose and especially to win in the market share. To create brand loyalty is to provide the best quality of the products in order to create trust of consumers to the brand that the products are worth to be consumed, as well as affordable prices and in accordance with the value of what they expect/received with the they price they have paid. This research uses descriptive research methods and causal research method. The research uses several methods in collecting the necessary data, questionnaires are distributed to sub agent. Hypothesis testing results show the value of brand trust is higher than the value of (5.137 > 1.96) and the value of the perceived value of is higher than the value of (5,346 > 1.96) which means the value of the alternative hypothesis ( ) is accepted which means confidence in the brand trust and perceived value affects brand loyalty. While the rest is influenced by other factors. In conclusion, if consumers have confidence in the brand trust and perceived value of the products’ itself, it helps in building loyalty of the brand in accordance with what was expected by the rice company
How autonomous cars can affect the car industry - Implications for user experience and competition

Autonomous cars have not only been identified as having the potential to change the car industry but also to have a high impact on society in general. Relieving people from driving the car will enable passengers to perform other activities during the ride, which in turn can create opportunities for shaping the user experience. The autonomous technology together with other emerging trends in the transportation industry can also come to change the competitive landscape of the car industry. One such important trend is the expected shift to shared ownership models. This study aims to investigate the user experience in future autonomous cars as well as how autonomous cars can affect the competitive landscape of the car industry. In order to reach conclusions within this subject, a combination of empirical findings and previous literature have been examined and discussed. The empirical part of this study is based on a qualitative method where the participants get to create collages to express their needs and wants in future autonomous cars. This study shows that people want to perform most activities within the categories relaxation, entertainment, and socialization. The result indicates that the activities people want to perform within these categories are similar, while the channels used to consume digital content varies. The study discusses the opportunities for a digital platform to enable the users to engage in a customized user experience adjusted to their specific wants. Furthermore, this study finds that there might be a difference in what people value regarding the aspects of an owned car compared to a shared one. This paper also indicates that the competitive landscape of the car industry can come to change when cars are autonomous and shared. When the industry boundaries expand to include new types of players, the drivers for competition change and new key success factors become evident. While traditional drivers for competition might stay important for car manufacturers, this study has identified new key success factors that will be of high importance for firms providing a shared mobility service. For these players, a critical mass of cars, an installed base of users and networks effects become important factors for obtaining a competitive advantage.
The effect of relational selling on life insurance decision making in India

Purpose The biggest challenge in the Indian life insurance industry is mis-selling and unfair business practices. The purpose of this paper is to explore the effect of relational selling behaviour on investor decision making in life insurance market in India. This study also aims to elucidate the mediating role of trust in predicting the purchase of life insurance policies by investors. Design/methodology/approach A cross-sectional survey was carried out to collect quantitative data using a validated structured questionnaire. A total of 813 policyholders of life insurance companies operating in Karnataka, South India, were chosen. The data were analysed using the partial least square method of structural equation modeling. Findings The process of investors’ life insurance buying decision is directly influenced by interaction intensity, co-operative intentions of agents, sharing of overt and covert policy information, and indirectly through the partial mediation of trust. Also, trust fully mediates the effect of agent disclosure and personal rapport on decision making by investors. The importance‒performance map analysis highlights the pivotal role of overt policy information in investors’ decision making. Practical implications The financial mis-selling in India can be curtailed significantly if the insurance companies insist on responsible and relational selling by their sales agents. The companies would also strategically gain by investing in trust-building programs that enhance quality interactions and honest disclosure of overt and covert policy information, unpretentious intention to co-operate in the policy selection, and emphasize emotional connection and personal rapport with customers. These genuine actions and behavioural manifestations would certainly facilitate appropriate decision making by the investors. Originality/value There is a paucity of research in India which explicates the role of relational selling behaviour in insurers’ decision making. As such, this article expands the scope of relational marketing research in insurance by assessing the relational determinants of investor decisions as well as the role of trust as the mediator in influencing insurance decision making.