Search results

These projects aim to improve library services for users in the future by combining Link Open Data (LOD) technology with data visualization. It displays and analyses search results in an intuitive manner. These services are enhanced by integrating various LOD technologies into the authority control system.

The technology known as LOD is used to access, recycle, share, exchange and disseminate information, among other things. The applicability of Linked Data technologies for the development of library information services is evaluated in this study.

Apache Hadoop is used for rapidly storing and processing massive Linked Data data sets. Apache Spark is a free and open-source data processing tool. Hive is a SQL-based data warehouse that enables data scientists to write, read and manage petabytes of data.

The distributed large data storage system Apache HBase does not use SQL. This study’s goal is to search the geographic, authority and bibliographic databases for relevant links found on various websites. When data items are linked together, all of the data bits are linked together as well. The study observed and evaluated the tools and processes and recorded each data item’s URL. As a result, data can be combined across silos, enhanced by third-party data sources and contextualized.

There are various online library databases available to access, but none of them include a geographic search option. The purpose of this study is to discover a suitable solution to solve this problem. To access information, it is critical to search using the geographic locations available in bibliographic databases. Geographic search functionality is available in Web-scale discovery system and services.

The approach and methods for incorporating geographic search capabilities into VuFind open source discovery software for suitable and appropriate information resource discovery among users are straightforward. Library mash-up tools and techniques were integrated by using geographic locations into a Web-scale library discovery system.

As a result, bibliographic metadata descriptions help all library users to identify and access documents more quickly and easily. It can assist users and librarians in making better use of library resources by integrating various databases with VuFind and by providing them in a single window-based interface. This system has developed a standardised geographic search architecture, and it is entirely based on the Ubuntu operating system. Furthermore, the 034 MARC 21 tag will be adjusted using the latitude and longitude website.

Web-scale library services are provided by OCLC WorldCat Discovery Services, Summon Web-scale Discovery, EBSCO Discovery Services, Primo Central and others. This Web-scale discovery services platform relies heavily on geographic search interface functionalities.

The purpose of this paper is to investigate connected data through the use of open-source technology. It demonstrates the transformation process from library bibliographic data to linked data, which allows for easy searching across numerous collections of information.

In generating this file, a high-level operating system such as Ubuntu, which is based on the LAMP architecture, is used. It is required to use open-source strategies in building the relevant information. LODRefine is being used to convert all of Koha's bibliographic data into linked data that is now available on the Web. This framework has been conceptualized and formulated based on linked data principles and search algorithms accordingly.

Linked data services have been made publicly available to library users by using a variety of different forms of data. Information may be sought quickly and easily using this interface built on numerous search structures. Aside from that, it also meets the needs of users who use the linked data search mechanism to find information. Through modern scripts and algorithms, it is now possible for library users to easily search the linked data enables services.

This paper demonstrates how quickly and easily related data from bibliographic details may be developed and generated using a spreadsheet. The entire procedure culminates in the presence of specialists in the library setting. A further advantage of the SPARQL system is that it allows visitors to group distinct concepts and aspects using independent URIs and URLs instead of the SPARQL endpoint.

The automation of libraries has made a significant difference in the quality of service. All libraries seek to improve the quality of their services, and the library seems to be a frequent target for modernization efforts throughout the globe. Local dialects need specific translations to use library management software. A variety of languages are available to create open-source techniques. The integrated library management system Koha is gaining traction. The Koha software has been translated and made accessible to a worldwide audience in many languages.

This experiment was based on a controlled setting and a realistic observation of the Koha translation process. A sample of a population is selected to study and draw conclusions about the entire population.

Results are based on a statistical report made available on the Koha translation site for the gathering of sample data, which is based on sample data that has been collected and brought to light. This analysis demonstrates how to translate Koha software on a pootle server step by step using sting data inputs on different po files accessible in translation databases.

The authors of this paper explain the procedure of translating Koha software and provide a global overview of Koha software translation into different languages throughout the world. Therefore, it can be expected that the importance of Koha software will increase tremendously for the people of different languages through the method of translation.

The aim of this study is to perform a systematic literature review on retail agglomeration literature and present an agenda of future research in this domain.

To synthesize and evaluate the retail agglomeration literature, the study adopts a structured systematic literature review approach. Additionally, the study employs the Theory-Context-Characteristics-Methodology (TCCM) framework to present future research directions in the retail agglomeration domain.

This review proposes a conceptual framework showing the relationships between the antecedents, mediators and consequences reported in the retail agglomeration literature. Lexicometric analysis shows that the key themes of retail agglomeration research are retail store selection and retail performance, retail location strategy and store format, customer perceptions, behavior and expectations.

Specific criteria used for the inclusion of literature limits articles considered for the current systematic review. Also, only those articles published in English were considered.

Based on the proposed model, this review presents strategies to enhance the performance of retail agglomeration.

This study has systematically synthesized the retail agglomeration literature to explore its development over time and proposes a research framework which provides a comprehensive understanding of retail agglomeration literature.

Recent decade has witnessed exponential growth in e-commerce segment, leading to emergence of various online selling platforms catering to diverse product requirements of customers. Such a development has provided impetus to both existing businesses and newly established ventures to make available their offerings through online selling platforms with a view to improve the reach of their products. This study is an attempt to identify the experience of registered vendors with the online marketplaces. It aims to develop and validate a scale to measure vendor's experience with e-commerce platforms.

As a part of the scale development process, relevant literature sources were scanned to spot the precise knowledge gap and to put in place a sound theoretical background for the study. Thereafter, a scientific approach was adopted for scale creation. First, the scale items were identified through interviews of vendors registered with major online selling platforms and other academic experts pertaining to the marketing domain. Subsequently, major dimensions of seller experience were identified through exploratory factor analysis (EFA) applied on data collected from active vendors by the means of a structured survey instrument. The final data set was subjected to confirmatory factor analysis (CFA) in a bid to validate the scale.

The study’s outcomes reveal that seller experience in an online marketplace can be best captured by a multidimensional scale characterized by six major dimensions. These are “Registration,”; “Product Listing”; “Pricing Autonomy”; “Ease of Pick-up and Delivery”; “Credit of Receivables” and “Vendor Assistance.” A proper emphasis to continually improve upon these dimensions by the e-commerce platforms is expected to enhance the utility and overall experience of vendors from such platforms. Existence of a mutually beneficial relationship between vendors and online marketplaces will help marketplaces to mitigate concerns like nonfulfillment of orders and dispatch of substandard products.

Sustainable long-term relations between vendors and online marketplaces hold the key for such marketplaces to render error-free and delightful service on each individual order received. Seller experience of registering and operating on such e-marketplaces inspite of playing a defining role in vendor–marketplace relations has received scant attention of researchers, both in academia and industry till date. The present research is a seminal attempt to address this gap in marketing literature and offer additional know-how.

The purpose of this paper is to demonstrate the critical role that context plays in measuring service quality.

This study replicated an experiment methodology to show that customers perceive an airline service drama as a sequence of scenes. A series of focus groups were then conducted to identify the context-specific set of service quality expectations that customers hold for each of these scenes. Finally, Formal Concept Analysis (FCA), a mathematical modeling technique, was applied to these findings to graphically illustrate how customer expectations for airline service quality vary by service scene.

Results from this study indicate that static measures of service quality are apparently inadequate in explaining customer expectations during more enduring service encounters. The FCA hierarchical model developed in this study revealed profound differences in customer service expectations across the six airline service scenes. These results suggest that more advanced methods for measuring service quality are necessary for service encounters that are longer in duration.

This research brings into question a broad spectrum of research which fails to recognize that customers use different reference points in time to evaluate service quality.

Researchers and practitioners need accurate and reliable measures of service quality but the findings suggests that measurement specificity and diagnostic capability should not be sacrificed in the pursuit of more robust instruments.

This is the first study to empirically demonstrate that customers perceive the airline service encounter as a sequence of scenes. It is also the first study to mathematically model service quality dimensions using FCA.

A suspended wheeled mobile robot (SWMR) that consists of one or more manipulators can be exploited in various environmental conditions such as uneven surfaces. The purpose of this paper is to discuss the requirements for stable motion planning of such robotic systems to perform heavy object manipulation tasks.

First, a systematic procedure for dynamics modelling of such complicated systems for planar motion is presented and verified using ADAMS simulation software. Next, based on the new dynamic moment‐height stability (MHS) measure, the stability of such systems will be investigated using the obtained dynamics. To this end, introducing the concept of a virtual frame, the obtained model of SWMR has been employed for investigating the effect of the base suspension characteristics as well as terrain roughness on the stability of the system. Next, the stability evaluation of the system is investigated after toppling down which has been rarely addressed in the literature. In addition, using the aforementioned model, the effect of stiffness is examined after instability.

First, a systematic procedure for dynamics modelling of such complicated systems for planar motion is presented and verified using ADAMS simulation software. Next, based on the new dynamic MHS measure, the stability of such systems will be investigated using the obtained dynamics. To this end, introducing the concept of a virtual frame, the obtained model of SWMR has been employed for investigating the effect of the base suspension characteristics as well as terrain roughness on the stability of the system. Next, the stability evaluation of the system is investigated after toppling down which has been rarely addressed in the literature. In addition, using the aforementioned model, the effect of stiffness is examined after instability.

A general procedure for dynamics modelling of SWMRs is presented. To verify the obtained dynamics model, another model for the considered system has been developed by ADAMS software. Next, using the obtained dynamics, the postural stability of such systems is investigated, based on the new postural MHS measure extended for SWMRs. The obtained simulation results show that by decreasing the stiffness coefficients of suspension subsystem the stability of the system weakens.

The purpose of this paper is to measure the influence of peers, and the Government and non-governmental organization (NGO) initiatives on an individual’s attitudinal drivers such as environmental knowledge and environmental concern, which are the reasons for their green purchasing intentions. This concept was applied among the Indian young consumers.

For the research, a structured online questionnaire was used to obtain responses from 342 Indians from various cities. The participants were 20-25 years of age. SPSS software package was used to refine the data while SmartPLS was used to test the validity of the hypotheses.

The findings revealed that the Government and NGO initiatives along with peer influence do have a significant effect on a consumer’s environmental knowledge and environmental concerns. Further, this study found a significant positive effect of environmental knowledge and environmental concern on perceived value. In turn, the perceived value had a direct positive impact on green attitude leading to green purchase intention.

This paper provides critical insights for marketers, as well as for governmental agencies and NGOs promoting the conservation of the environment through environmental-friendly practices. These parties aim to generate greater awareness among consumers and impart knowledge about the benefits of green practices.

The studies measuring the impact of external factors on green consumption are scarce. Even the few studies available have measured the direct impact of external factors on green purchase intention. Governmental and NGO initiatives along with peer influence are the stimuli impacting operational factors such as environmental knowledge, environmental concern, perceived value, and green attitude, which, in turn, lead to the response of green purchase intention. This study provides new insights to this relationship by using a stimulus – organism – response framework.

This research article aims to understand the role of brand image, service quality and price (charge) in revitalising functional mass brands into prestigious mass brands.

The empirical research framework was developed by synthesising the past literature on masstige marketing and brand extension. Data was collected using a survey questionnaire from 396 respondents availing M-Wallet. Structural equation modelling was used to validate the brand revitalization attributes; further, the binary logistic regression model examined the effect of revitalization attributes on the chance of increasing customer's perception of masstige.

The exploratory study suggested brand image, service quality and value for money pricing as essential attributes to revitalize mass brands into masstige brands; furthermore, path analysis validated the positive effects of these attributes on the perception of masstige. The proposed binary logistic regression model suggested brand image as sensitive attributes, increasing the odds ratio by 9.39 times in favour of perceiving brand as masstige followed by the perceived service quality that is 5.87 times. The prediction capability of the proposed binary logistic regression model is found to be 96%.

The methodology of this study provides the basis for future researchers to advance research on masstige. This study will assist the marketers of mass brands to make better marketing decisions related to how masstige image can be sustained or a new or less known brand can be revitalized into a prestigious brand.

This study is the first to provide empirical evidence of how the mass brand can be revitalised as masstige brands by considering image, quality and price attributes.