Content marketing model for leading web content management

This paper is envisaged to provide the Ukrainian businesses with suggestions for a content marketing model for the effective management of website content in order to ensure its leading position on the European and world markets. Our study employed qualitative data collection with semi-structured interviews, survey, observation methods, quantitative and qualitative methods of content analysis of regional B2B companies, as well as the comparative analysis. The following essential stages of the content marketing process as preliminary search and analysis, website content creation, promotion and distribution, and content marketing progress assessment were identified and classified in detail. The strategic decisions and activities at each stage of the process showed how a company’s on-site and off-site content can be used as a tool to establish the relationship between the brand and its target audience and increase brand visibility online. This study offered several useful insights into how website content, social media and various optimization techniques work together in engaging with the target audience and driving website traffic and sales leads. We constructed and described the content marketing model elaborated for effective web content management that can be useful for those companies that start to consider employing content marketing strategy for achieving business goals and increasing a leadership position

Measuring the Online Impact of Your Information Project: A Primer for Practitioners and Funders

Evaluates fifteen Web sites funded by the Knight Foundation's Community Information Challenge, including data on visits, unique visitors, page views, and bounce rates. Outlines how to set goals, align metrics, and implement analytics

Student-Centered Learning: Functional Requirements for Integrated Systems to Optimize Learning

The realities of the 21st-century learner require that schools and educators fundamentally change their practice. "Educators must produce college- and career-ready graduates that reflect the future these students will face. And, they must facilitate learning through means that align with the defining attributes of this generation of learners."Today, we know more than ever about how students learn, acknowledging that the process isn't the same for every student and doesn't remain the same for each individual, depending upon maturation and the content being learned. We know that students want to progress at a pace that allows them to master new concepts and skills, to access a variety of resources, to receive timely feedback on their progress, to demonstrate their knowledge in multiple ways and to get direction, support and feedback from—as well as collaborate with—experts, teachers, tutors and other students.The result is a growing demand for student-centered, transformative digital learning using competency education as an underpinning.iNACOL released this paper to illustrate the technical requirements and functionalities that learning management systems need to shift toward student-centered instructional models. This comprehensive framework will help districts and schools determine what systems to use and integrate as they being their journey toward student-centered learning, as well as how systems integration aligns with their organizational vision, educational goals and strategic plans.Educators can use this report to optimize student learning and promote innovation in their own student-centered learning environments. The report will help school leaders understand the complex technologies needed to optimize personalized learning and how to use data and analytics to improve practices, and can assist technology leaders in re-engineering systems to support the key nuances of student-centered learning

HR Analytics: Talent Acquisition

[Excerpt] HR Analytics is becoming increasingly important as new technologies, software and new methods of data collection are revolutionizing the HR function. One area in which analytics tools are particularly flourishing is the talent acquisition space. With an increasingly competitive talent market, talent acquisition presents itself as an area in which analytics tools can greatly supplement decision making for these 3 reasons: here are many measurable, verifiable metrics to measure in terms of sources of talent, candidate qualifications, and the efficacy of the recruitment process here is an abundance of sources from which to collect data (Online sources, interviews, etc.) With the increased importance of sourcing the correct talent, the opportunity to use analytics tools to make better decisions is quite compelling Given these reasons, talent acquisition presents itself as an opportunity for organizations to build their analytics capabilities while driving measurable business outcomes and improvements to their organization. As evidenced in the above graphic, many organizations are already undertaking these changes or considering changes in the near future

Data Analytics in Higher Education: Key Concerns and Open Questions

“Big Data” and data analytics affect all of us. Data collection, analysis, and use on a large scale is an important and growing part of commerce, governance, communication, law enforcement, security, finance, medicine, and research. And the theme of this symposium, “Individual and Informational Privacy in the Age of Big Data,” is expansive; we could have long and fruitful discussions about practices, laws, and concerns in any of these domains. But a big part of the audience for this symposium is students and faculty in higher education institutions (HEIs), and the subject of this paper is data analytics in our own backyards. Higher education learning analytics (LA) is something that most of us involved in this symposium are familiar with. Students have encountered LA in their courses, in their interactions with their law school or with their undergraduate institutions, instructors use systems that collect information about their students, and administrators use information to help understand and steer their institutions. More importantly, though, data analytics in higher education is something that those of us participating in the symposium can actually control. Students can put pressure on administrators, and faculty often participate in university governance. Moreover, the systems in place in HEIs are more easily comprehensible to many of us because we work with them on a day-to-day basis. Students use systems as part of their course work, in their residences, in their libraries, and elsewhere. Faculty deploy course management systems (CMS) such as Desire2Learn, Moodle, Blackboard, and Canvas to structure their courses, and administrators use information gleaned from analytics systems to make operational decisions. If we (the participants in the symposium) indeed care about Individual and Informational Privacy in the Age of Big Data, the topic of this paper is a pretty good place to hone our thinking and put into practice our ideas

Getting Past It's Not For People Like Us: Pacific Northwest Ballet Builds a Following with Teens and Young Adults

This case study examines how the Pacific Northwest Ballet set about trying to cultivate the next generation of ballet-goers. Focusing on teens and adults under the age of 25, the Seattle-based ballet company sought in part to knock down the view of many young people that ballet is stuffy or boring and replace it with the view that ballet could be exciting and meaningful to them. The ballet company attacked the problem on a number of fronts, including revising promotional materials to appeal to younger audiences, posting online videos to familiarize viewers with the ballet, holding teen-only previews, and offering heavily discounted tickets. One result was a doubling over four years of ticket sales to teens

Slow Fashion Brand’s Digital Marketing: What impact does digital marketing´s slow fashion brand have on e-commerce implementation?

Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing IntelligenceThis project thesis aims to examine the impact of digital marketing on slow fashion brands through the implementation of e-commerce. Slow fashion brands have gained significant attention recently due to their commitment to sustainable and ethical production practices. However, their success in the digital age largely depends on their ability to utilize digital marketing tools to reach their target audience effectively. This thesis explores how implementing e-commerce can impact the overall digital marketing strategy of a specific slow fashion brand, Portuguesa. The research uses an approach of a quantitative analysis of data from slow fashion e-commerce websites and Google analytics. The findings show that e-commerce implementation can significantly improve a slow fashion brand's digital marketing performance, particularly regarding online visibility, customer engagement, and conversion rates. The results highlight the importance of aligning digital marketing efforts with e-commerce implementation for the success of slow fashion brands in the digital age. The study also points out that e-commerce implementation supports slow fashion brands' sustainable and ethical values. Overall, the thesis contributes to understanding how digital marketing and e-commerce can be used to promote sustainable fashion and support the growth of a recent slow fashion brand, Portuguesa